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Description

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines to support the bank's analytics, reporting, and decision-making processes. Working closely with analysts, reporting, integration teams and business stakeholders to ensure high-quality, secure, and efficient data solutions that comply with financial regulations and industry standards.

Below is a list of essential functions of this position. Additional responsibilities may be assigned in the position.

KEY RESPONSIBILITIES

• Build and maintain data models, schemas, and databases (e.g., data warehouses, data lakes) to support business intelligence, machine learning, and reporting needs.
• Ensure data is optimized for performance, reliability, and scalability, minimizing latency and maximizing throughput.
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies
• Implement data quality checks, monitoring, and validation processes to ensure accuracy, consistency, and compliance with regulatory requirements.
• Partner with business analyst, data Integration, Automation, and IT Teams to understand data requirements and deliver solutions that align with business goals.
• Ensure data adherence to strict security protocols and regulatory standards including encryption, access controls, and audit trails.
• Champion data governance, quality standards, and performance optimization.
• Create and maintain comprehensive documentation for data schemas, processes and systems to ensure transparency and reproducibility.

ATTITUDES

Builds positive relationships with internal and external clients by valuing other's feelings and rights in both words and actions, and embracing other's unique beliefs, backgrounds, and perspectives by demonstrating:

• Respect - treat every client and colleague with dignity and respect.
• Client Focus - Design scalable and reliable data pipelines that directly support the client's business goals and decision-making needs. Actively engage with stakeholders to understand evolving requirements and deliver solutions that provide timely, actionable insights
• Inclusion - Support a diverse work environment by building data systems that are accessible, equitable, and considerate of user needs, while actively seeking input from voices across all backgrounds and roles.

BEHAVIORS

Demonstrates strong business ethics and honest behaviors and the ability to positively influence and work with others to achieve excellent results by demonstrating:

• Leadership - Proactively drives data strategy, mentoring peers, and sets high standards for quality, innovation, and collaboration across teams.
• Integrity - Establish and enforce program governance frameworks, including change control and release management.
• Collaboration - Works with stakeholders across all departments to drive data efforts. Serves as a key contributor between business stakeholders and technical teams.
• Volunteerism - Use your skill beyond the role by mentoring others, helping teammates, and supporting meaningful causes.

COMPETENCIES

Reflects skill, good judgement, positive conduct, and personal responsibility for assigned areas. Seeks to implement and leverage services and technologies that create efficiencies by demonstrating:

• Accountability - Takes ownership of work, ensuring data systems are reliable and accurate. Promptly addresses issues or errors with transparency and responsibility.
• Innovation - Embrace new ideas, new tools, and bold thinking; challenge the status quo.
• Professionalism - consistently demonstrates courteous behavior, integrity, and strong work ethic while representing the bank with a polished appearance and clear communication.

POSITION LEVEL(S) EXPECTATIONS

• Strong understanding of Data Models, databases, schemas, and security methodologies.
• Excellent leadership, strategic thinking, and stakeholder management skills.

SEEKS PROFESSIONAL DEVELOPMENT OPPORTUNITIES

Actively participate in expanding skill sets and career paths by attending training programs, workshops, certifications, and educational resources relevant to the role. Set stretch assignments and cross functional opportunities that foster growth and learning.

Requirements

QUALIFICATIONS, EDUCATION, & EXPERIENCE

To perform this position successfully, an individual must be able to perform each essential position requirement satisfactorily, and a skills inventory is listed below.

• Bachelor's degree in a technology related program or 3-5 years' experience a data related field.
• Strong understanding of data architecture and data base design principles.
• Strong leadership and communication skills across technical and non-technical audiences.
• 3-5 Years experience in Data roles.
• Proficiency in languages such as Python, Java, Scala, or SQL.
• Experience in financial services (banking, insurance, wealth management).
• Excellent problem-solving and communication skills, with a collaborative mindset.
• Demonstrated leadership and self-direction.
• A background screening will be conducted.

LANGUAGE SKILLS: Ability to read, comprehend, and interpret documents. Possesses professional communication and interpersonal skills to write and speak effectively both one-on-one and before groups of clients or employees of the organization. Ability to communicate to clients directly and effectively.

TECHNOLOGY SKILLS: Ability to utilize telephone systems and possess good digital literacy including email, internet and intranet use. Strong understanding of Salesforce platform capabilities and implementation methodologies.

MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure.

REASONING ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to solve challenging problems involving several variables in a standardized situation.

PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

This position operates in a professional office environment with considerable time spent at a desk using office equipment such as computers, phones, and printers. Ability to travel on occasion to all market areas and attend seminars or training sessions offsite and employee meetings off-site.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

DISCLAIMER: This job description is not an exclusive list of responsibilities and duties. They may change at any time without notice.

BENEFITS

• Medical, Dental, Vision & Life Insurance
• 401K with company match
• Paid Time Off & Recognized Holidays
• Leave policies
• Voluntary Benefit Options (Life, Accident, Critical Illness, Hospital Indemnity & Pet)
• Employee Assistance Program
• Employee Health & Wellness Program
• Special Loan and Deposit Rates
• Gradifi Student Loan Paydown Plan
• Rewards & Recognition Programs and much more!

Eligibility requirements apply.

CNB Bank is an equal opportunity employer and all applicants are considered based on qualifications without regard to sex, race, color, ancestry, religious creed, national origin, sexual orientation, gender identity, physical disability, mental disability, age, marital status, disabled veteran or Vietnam era veteran status. CNB Financial Corporation is an Affirmative Action Employer and is committed to fostering, cultivating and preserving a culture of diversity and inclusion.

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• 
  
• Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  
• Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  
• Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  
• Implement best practices for data modeling, ETL/ELT processes, and automation.
  
• Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  
• Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  
• Ensure data integrity, security, and compliance across all engineering solutions.
  
• Collaborate with IT and rest of data teams to align solutions with enterprise
  
• Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  
• Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.
  

• 
  
• Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  
• 7+ years in data engineering or related data roles required.
  
• 3+ years in leadership or management positions required.
  
• Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  
• Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  
• Ability to design and implement scalable data solutions.
  
• Excellent leadership, communication, and organizational skills
  
• Ability to balance hands-on development with team development.
  
• Must be able to work fully in-office. This position does not allow for remote work.
  

• 
  
• Medical, Dental, Vision, & Life Insurance
  
• 401(k) with a company match
  
• PT0 & 11 1/2 Paid Holidays
  

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY

This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes

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• Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  
• Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  
• Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  
• Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  
• Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
  

ESSENTIAL DUTIES AND RESPONSIBILITIES

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• Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  
• Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  
• Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  
• Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  
• Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  
• Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  
• Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  
• Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  
• Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  
• Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  
• Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  
• Develop and implement metrics needed to monitor/ report on data governance and data management progress
  
• Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  
• Performs other duties as assigned.
  

SUPERVISORY RESPONSIBILITIES

Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.

• 
  
• 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  
• 5 or more years of related experience in related industry; commercial real estate management preferred.
  
• 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  
• Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  
• Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
  
  

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• Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
  

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

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• Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  
• Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  
• Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  
• Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  
• Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
  

FINANCIAL KNOWLEDGE

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• Requires basic knowledge of financial terms and principles.
  
• Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  
• Manages to and oversees department budget.
  

REASONING ABILITY

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• Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
  
  • 
    
  • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    
  • Demonstrated ability to balance long-term strategy with quick wins.
    
  • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    
  • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    
  • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    
  • Ability to tell a story to explain or sell a concept.
    
  
  
  

OTHER SKILLS and/or ABILITIES

• 
  
• Utilizes an entrepreneurial approach and develops innovative solutions.
  
• Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  
• Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  
• Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  
• Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  
• Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  
• Experience managing small to mid-size teams and delivering results.
  
• Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  
• Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  
• Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  
• Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  
• Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  
• Skills in MS Visio, Word and PowerPoint is a plus.
  
• Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  
• Software development lifecycle knowledge, with background in agile philosophies and
  

• The Director of BI and Data Services will be primarily managing Power BI and Epic Cogito. Preferred candidates would reside in Oregon with the ability to come onsite.

• We are open to considering candidates remote out of state in which we can employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin

JOB SUMMARY/PURPOSE

• Oversees the design, implementation, and maintenance work of business intelligence, analytics, and data architecture managers. Responsible for the strategic leadership and direction of data architecture and business intelligence strategies to meet the data needs of the organization. Ensures system standards and compatibility with SHS information systems architecture, tools, policies, and procedures. Ensures that data initiatives align with organizational objectives and data governance policies and procedures. Responsible for budgeting of IS Business Intelligence and Data Services department, ensuring resources are allocated efficiently and cost-effectively to support the organization's goals. Leads maturation of Samaritan Health Services as a data driven, data literate health system, working with clinicians, business stakeholders, researchers, informaticists, IS colleagues, and others. Creates a culture of teaching, mentoring and professional development across the system. Maintains consultative, trusted-advisor relationships with stakeholders.

DEPARTMENT DESCRIPTION

• Information Services is committed to providing leadership, support and coordination of technology at Samaritan Health Services. The IS Business Intelligence and Data Services department provides comprehensive data support as a centralized resource for the organization. Services include data integration and warehousing, analytic reporting, business intelligence solutions, statistical data analysis, and data science solutions.

EXPERIENCE/EDUCATION/QUALIFICATIONS

• Bachelor's degree required (preferably in an Information Systems related field). An advanced degree in information systems, mathematics, statistics, analytics, engineering or a related field preferred.
• Eight (8) years professional and/or leadership experience in data analytics/business intelligence/data science required.
• Five (5) years experience in the management of technical resources required.
• Two (2) years experience in business intelligence/data science delivery required.
• Project management and continuous process improvement experience required.
• Experience with Epic Cogito strongly preffered.
• Experience in multiple data-related technologies required.
• Project management certifications preferred.
• Experience providing advanced business intelligence and data science solutions in a healthcare setting preferred.

KNOWLEDGE/SKILLS/ABILITIES

• Leadership - Inspires, motivates, and guides others toward accomplishing goals. Achieves desired results through effective people management.
• Conflict resolution - Influences others to build consensus and gain cooperation. Proactively resolves conflicts in a positive and constructive manner.
• Critical thinking – Identifies complex problems. Involves key parties, gathers pertinent data and considers various options in decision making process. Develops, evaluates and implements effective solutions.
• Communication and team building – Leads effectively with excellent verbal and written communication. Delegates and initiates/manages cross-functional teams and multi-disciplinary projects.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

• 
  
• Technical Skills Applications Integration
  
• Cloud Computing and Cloud Computing Architecture
  
• Data Architecture Design and Modelling
  
• Data Integration and Data Quality
  
• AI/Agentic AI driven data operations
  
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  
• Strong relationship management and business development skills.
  
• Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
  
• Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
  
• Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
  
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  
• Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
  
• Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  
• Establish data governance policies and practices, including data security, quality, and lifecycle management.
  
• Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
  

• 
  
• A Bachelor’s degree required in STEM
  
• 12+ years professional consulting experience in industry or in technology consulting.
  
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
  
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
  
• 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
  
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
  
• Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
  
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
  
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
  
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
  
• Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
  
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
  
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
  
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
  
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
  
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
  
• Excellent leadership, communication, and project management skills.
  
• Data Security and Database Management
  
• Enterprise Data Management and Metadata Management
  
• Ontology Design and Systems Design
  

• 
  
• Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
  
• Experience working at big 4 or a major utility.
  
• Experience with cloud data platforms like Databricks.
  
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
  
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
  
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
  
• Building and Managing Relationships
  
• Client Trust and Value and Commercial Astuteness
  
• Communicating With Impact and Digital Fluency
  

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• 
  
• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
  

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Gourmet Home Products is a cutting-edge design house and a leading manufacturer of Houseware products, distinguished in the home industry as a company of quality, flexibility, and creativity since 2010. We specialize in Private Label business and carry a full line of our own stock merchandise. We work with many retailers nationwide serving all channels of distribution including Mid-Tier Department Stores, Specialty Stores, Discounters and Mass Merchants. No customer is too big or too small for Gourmet Home. Our private label programs consist of many of the top retailers in the Home industry. Our vertical operations are broad, offering a wide range of selections in almost every category. Gourmet Home designs, manufactures and delivers home products from basic core items to the latest trends.

Responsibilities:

• Accurately enter and maintain shipments in the system, ensuring complete and precise data capture for order processing and log shipment invoices for billing.
• Track and record all incoming shipments from suppliers, updating inventory levels promptly to reflect product availability.
• Collaborate closely with suppliers regarding delivery schedules and resolve any discrepancies or issues that may arise.
• Conduct regular audits of entered data to ensure accuracy and compliance with company standards.
• Coordinate with China office and China logistics teams to ensure effective product booking and shipment processes.
• Generate and distribute reports related to order status, inventory, and supplier performance for management review.
• Respond to inquiries from suppliers regarding order status and shipment tracking.
• Maintain organized records of all order data, supplier communications, and relevant documentation in accordance with company policies.
• Implement process improvements to enhance the efficiency and accuracy of data entry and logistics operations.

Qualifications:

• Strong analytical and problem-solving skills with keen attention to detail.
• Proficiency in data entry software and Microsoft office suite (Excel, Word)
• Excellent communication skills, both written and verbal.
• Strong organizational abilities to manage multiple priorities and meet deadlines.
• Ability to work independently and as part of a team in a fast-paced environment.
• Previous experience in data entry, logistics is preferred.

Benefits:

• Health Insurance
• 40lK
• Paid Time Off (vacation, sick leave, and holidays)

The salary range for this position is $65,000 to $85,000 contingent upon experience.

Support Center - Irving

The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

• Strategic Thought Leadership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved

Data Analytics

• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications or technical skills

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

• Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

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Federal FMLA Poster

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Data Analytics Internship 

Los Angeles, CA, USA (Hybrid role) 

Part-Time, $17.87/hr, Mid-April 2026 to Mid-August 2026.  

DailyLook, a subsidiary of Victoria’s Secret & Co. (NYSE: VSCO) since being acquired in December 2022, is seeking a Data Analytics Intern. This internship offers the opportunity to work across 2 key teams at Dailylook: Demand Planning and Data Growth. The intern will be at the core of the business, leveraging data and analytics to support strategic initiatives and help drive data-informed improvements across operations, inventory planning, and growth initiatives. This is a great chance to gain hands-on experience working with real business data while contributing to impactful decisions! 

Qualifications for the Position 

1. A degree in (or a junior, senior or graduate student pursing a degree in): data science, statistics, computer science, economics (quantitative track), applied analytics, mathematics or business analytics. 
2. GPA 3.3+ preferred 
3. Coursework or experience in: Statisical analysis, data analytics, machine learning. 
4. Experience with database systems, SQL and Python 
5. Familiarity with BI tools such as Looker or Tableau. 
6. Exemplary interpersonal communication skills both verbal and written 
7. Highly motivated, collaborative 
8. Experience in a Startup or Retail industry is an extra plus! 
9. An intellectually curious team player with a no-compromises approach to work quality, attention to detail, organization, and the ability to manage multiple priorities and projects in a fast-paced environment 
10. Self-motivated, detail-oriented, hands-on go-getter with the ability to build and suggest overhaul processes where needed, take initiative, work independently and proactively, multi-task, and remain flexible with changing priorities 
11. “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
12. Demonstrated ability to communicate and collaborate effectively across global teams by adapting to diverse cultural norms, respecting time zone differences, and leveraging digital collaboration tools to maintain alignment and productivity  
13. Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments 
14. Ability and willingness to work on-site at our office in Downtown LA at least once a week.  

Responsibilities 

1. Reports to the Planning Team.  
2. Maintain and migrate existing demand planning and inventory reports to the current BI tool. 
3. Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics 
4. Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow) 
5. Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking 
6. Conduct assortment and scenario analysis to support predictive demand planning 
7. Analyze inventory health, sell-through trends, and replenishment opportunities 
8. Identify optimization opportunities within the current planning workflow and BI infrastructure 
9. Document demand planning processes and support improvements to internal planning tools. 
10. Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.  
11. Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance 
12. Assist with dashboard updates, reporting, and basic data checks to ensure data quality 
13. Help monitor A/B tests and experiments for CRM campaigns and website initiatives 
14. Conduct ad-hoc analyses to provide insights and recommendations for the team 
15. Document data workflows & the new data infrastructure. 

Compensation & Benefits 

The pay for this position is $17.87 an hour. This is a non-exempt, part-time position.  

DailyLook is proud to provide equal opportunity to all employees and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law. 

By applying for this position, the applicant authorizes DailyLook to check all references list on your application and/or resume. 

Data Analyst (Adobe Data Analytics/ CJA consultant )

Remote

C2H role

Education / Certification

Required: Bachelor’s Degree

Experience

• 4–6 years of related experience required
• Strong proficiency in JavaScript with hands-on implementation and troubleshooting
• Experience with Adobe Analytics implementation and/or Adobe CJA migration preferred
• Experience with tag management systems, preferably Adobe Launch
• Expertise in data layer design and implementation
• Experience tagging both native mobile applications and websites
• Experience working with content management systems such as AEM and frameworks like React and React Native

Disqualifier

• No experience working with cross-functional teams

Additional Qualities

• SQL skills
• Healthcare industry experience

Top 3 Must-Have Hard Skills (Ranked)

1. Adobe Launch and JavaScript – hands-on implementation and troubleshooting
2. Mobile application analytics implementation experience
3. Experience with different content management systems

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status

Job Description:

Overview:

We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day.

We seek to enhance our Controls and Data Integrity team with a role specializing in data quality for interest rate, currency, and commodity transactions. The role is part of our global central operations group charged with ensuring the accuracy and reliability of Chatham's transaction, market, and valuation data.

In this role you will:

The purpose of the role is to ensure all transaction details are in Chatham's systems accurately and as agreed upon at execution. Data entry errors can have significant consequences to the economics of the transaction or to their accounting treatment, and it is therefore critical that team members understand transaction-related market conventions, payments, and valuations. This role will provide support for transactions executed by Chatham's real estate, private equity, corporate, and financial institutions sectors. We expect primary responsibilities to include:

• Transaction and data review
  • Work as part of the larger team to check the data entry on transactions as they are executed
  • Verify calculation amounts and build payment schedules
  • Develop an understanding of the underlying transactions in order to identify loading errors
  • Check daily control reports to monitor unusual movements in transaction valuations and market data
  • Assist with data clean-up related transaction data and Client Relationship Management (CRM) software

• Communicate and coordinate across other internal teams and with clients
  • Interact with sector team members to verify/clarify data, as needed
  • Work with internal models, analytics, and technology teams to resolve issues
  • Play an active role in liaising between the business and technical teams
  • Check and send out monthly valuation reports to clients

• Develop and share subject matter expertise
  • Take part in the training of new Chatham employees on sector teams
  • Serve as an integral member of ad hoc project teams to improve processes, solve problems, and provide insight from a data quality perspective
  • Develop SQL skills and help create database queries

• The role may also include opportunities to contribute to the team in other capacities as interests and team needs align.

Your impact:

Our team works in partnership with Chatham's sector advisory teams and clients to help them efficiently navigate the data quality, operational, and regulatory compliance aspects of a transaction. We strive to continually improve the workflows we are responsible for and have the chance to do so by implementing process changes and/or leveraging supporting technology. Team members play a crucial role in these process improvements and serve as subject matter experts, providing regular training and resources for all Chatham teams.

Contributors to your success:

• 2 years of experience working in operations or data quality may be beneficial but is not required
• An interest in data quality, data management, and process improvement
• Comfort with basic math skills and use of Microsoft Excel
• High level of attention to detail, accuracy, and organization
• Ability to multitask and independently prioritize workload
• Strong verbal and written communication skills
• Ability to work extra/non-standard hours around month- and quarter-ends (and other special cases) to support critical business processes
• Experience with VBA and SQL are beneficial, but not necessary

We seek individuals that will thrive in our culture and can make a significant impact over the long term. Most of our team members do not come to Chatham with a deep understanding of derivatives; therefore, we conduct classroom and apprentice-style training. We look for people who have consistently demonstrated drive, determination, and academic/professional accomplishment throughout their lives. We invest a great deal of time and training with our employees and we are looking for individuals who want to make a long-term commitment to the company.

About Chatham Financial:

Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, .

Chatham Financial is an equal opportunity employer.

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

• Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
• Certified Data Management Professional certification.
• Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
• Advanced knowledge of SQL, database design and data modeling expertise.
• Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
• Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Open date: October 14, 2025

Most recent review date: Friday, Nov 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.

The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.

Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.

The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.

The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.

UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.

The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.

UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.

This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values

Advanced degree or enrolled in an advanced degree program.

• 
  
• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

• 
  
• Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  
• Demonstrated commitment to the Library's values.
  
• Demonstrated analytical, presentation, and communication skills.
  
• Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  
• Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  
• Participation in The Carpentries or other data science education program.
  
• Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  
• Experience working collaboratively with multiple stakeholders in an academic environment.
  
• Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  
• Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• 3-5 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Hybrid Onsite Schedule In office T, W, Th; Remote M, F

Job Description: Data Analyst – Global Patient Access Program (GPAP)

Location: North Chicago, IL, USA (Hybrid eligible), AP30

Overview: The Data Analyst for the Patient Assistance Program (PAP), supporting GPAP’s data transformation and governance, will be instrumental in building and maintaining the backbone of automated reporting and KPI dashboards. This role ensures a single source of truth for GPAP operations, drives analytics innovation, and supports the integration and consistency of data across the program. You’ll collaborate closely with workstream leaders, lead in bi-weekly scrum sessions, and deliver insight-rich, timely outputs for senior leadership.

Key Responsibilities:

• Develop, automate, and maintain standardized PAP reporting, KPI dashboards, and ad hoc analytics tools using Tableau, Excel, and Snowflake.

• Lead twice-weekly Scrum sessions with workstream team members, ensuring progression of data tasks, intake of new data requests, and alignment on analytics approaches in a Smart Sheet-driven, agile environment.

• Ensure data consistency, quality, and accuracy across all platforms, supporting GPAP governance and the creation/control of the 'source of truth.'

• Enable and facilitate self-service dashboards and reporting marts for internal and external stakeholders.

• Collaborate with cross-functional partners (BTS, ACA, GPAP, Steer Co) to support program data needs, forecasting, and reporting methodologies.

• Support quarterly and weekly reporting processes—including application, shipment, and claim-level analytics.

• Partners with data lead to document extraction methods, automate/accelerate reporting, and track program impacts, escalations, and business intelligence.

• Identify new opportunities for advanced analytics or insights to increase PAP operational efficiency and program sustainability.

Qualifications:

• Bachelors in a relevant field (Analytics, IT, Business, Data Science, or related)

• 3-5 years’ experience in data analytics, reporting, or business intelligence in healthcare, pharma, or related industry

• Advanced proficiency in Tableau and Excel; experience with Smart Sheet and Snowflake (SQL skills required)

• Demonstrated experience leading agile meetings (scrum/project management preferred)

• Strong attention to detail, data integrity, and quality control

• Experience in KPI development, dashboard design, and self-service reporting

• Effective communicator with ability to drive cross-team consensus and present findings to varied audiences

• Collaborative mindset, able to work in fast-paced, matrixed environments

• In office Tues, Wed, Thurs

Preferred:

• Experience in patient assistance programs or US healthcare market access

• Familiarity with organizational data governance or compliance requirements

Be part of a team unlocking strategic impact through advanced analytics, automation, and insight-driven transformation. Shape the way data informs patients’ access and program value across a global organization while enjoying professional growth in a supportive, inclusive culture.

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.

Key Responsibilities:

Client & Stakeholder Engagement

• Serve as the primary analytics point of contact for clients
• Present performance reports, dashboards, and model insights
• Translate complex statistical results into clear business recommendations
• Participate in strategy calls

Data Analysis & Reporting

• Analyze large datasets to identify trends, risks, and opportunities
• Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
• Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
• Segment performance by channel, risk tier, geography, or campaign
• Perform root cause analysis on performance shifts

Modeling & Optimization Support

• Work alongside data scientists to interpret model outputs
• Conduct A/B testing and performance experiments
• Identify segments with low performance and recommend optimization strategies
• Validate model deployment performance in production environments

Cross-Functional Collaboration

• Coordinate with underwriting, marketing, risk, and engineering teams
• Assist in translating business requirements into analytical frameworks
• Support compliance and reporting needs where applicable

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
• field
• 2–5+ years of experience in data analytics, preferably in fintech or lending
• Strong proficiency in SQL
• Experience with R or Python
• Experience with BI tools (Tableau, Looker, etc.)
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical audiences

Preferred Qualifications

• Experience with underwriting analytics or credit risk modeling
• Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
• Knowledge of fraud detection metrics
• Experience working in a client-facing or consulting environment

Core Competencies

• Strong analytical thinking
• Business acumen
• Executive-level communication
• Detail-oriented but able to see big picture
• Proactive problem-solving mindset

Electrical Project Executive | Data Center Construction

Ann Arbor, MI | Traveling

Seeking an experienced Electrical Data Center Executive to lead the development of a Hyperscale Data Center build in Ann Arbor, MI. This individual will be responsible for leading the business unit with full profit and loss accountability, while ensuring excellence in safety, quality, and client satisfaction.

This role will lead the Hyperscale Data Center Development Project, overseeing the leadership team and driving the strategic success of projects through full completion. Responsibilities include building strong partnerships and collaborating closely with clients, subcontractors, and general contractors throughout the project lifecycle.

This is a stepping-stone opportunity that offers significant career growth as the company continues to expand its Mission Critical Division Nationally with a leading ENR Electrical Contractor.

Key Responsibilities

• Lead and manage large-scale Hyperscale Data Center construction projects
• Ensure safe work practices, quality standards, and strong financial performance
• Drive client development and long-term business growth
• Mentor, develop, and lead project teams
• Oversee contracts, estimating, risk management, and project execution
• Directly supervise large teams through full strategic execution to ensure client satisfaction

Qualifications

• Master’s degree in Construction Engineering & Management (or equivalent experience)
• 12+ years of experience in electrical construction with a proven track record of success
• 8+ years of experience in Data Center construction, including 5+ years at a senior level
• Strong leadership, communication, and organizational skills
• Proficiency in Microsoft Office, project management, and estimating software
• PMP, OSHA 30, and state electrical license preferred
• Willingness to travel full-time as required

This is an Executive-level role for a professional passionate about growing a Data Center division, with a strong background in electrical construction and a commitment to exceptional standards in safety, client relationships, and the delivery of profitable, high-quality projects.

Candidates must be located in an area with access to a major airport for travel.

646-396-5018

Position Summary:

Responsible for accurately entering, organizing, and maintaining data related to the daily operations of the depot. This includes animal health records, medical treatments, inventory management, and calf movements. The role supports decision-making by providing timely and accurate information to the management team. Bilingual candidates (Spanish and English) are strongly preferred, as communication with both local and international teams is essential.

Key Responsibilities:

Enter daily data related to:

• Calf entries, exits, and movements
• Medical treatments, vaccinations, and medications
• Weights and mortalities
• Maintain and update records using spreadsheets or specialized software (Excel, or herd management software)
• Assist in inventory tracking, ensuring that stock levels of medical supplies, and other resources are properly recorded and monitored
• Generate weekly and monthly reports, including inventory status and usage
• Assist in internal and external audits by providing necessary documents and data
• Cross-check information with field staff
• Manage both physical and digital filing systems
• Ensure data accuracy, integrity, and confidentiality
• Assist with administrative duties.

Requirements:

• Minimum education: High school diploma or technical degree (preferably in administration, animal science, or related fields)
• Previous experience in data entry, inventory management, or information processing (preferably in agriculture or livestock)
• Intermediate knowledge of Excel (basic formulas, data validation, pivot tables)
• Strong attention to detail and high accuracy in data handling
• Strong communication skills and ability to work with different departments
• Bilingual (Spanish and English) required for effective communication across teams
• Preferred: experience with livestock management or inventory software

Preferred Skills:

• Organizational and time-management skills
• Ability to track, reconcile, and resolve discrepancies in inventory
• Professionalism, discretion, and confidentiality
• Adaptability to new tools, technologies, and processes

We Offer:

• Competitive salary
• Ongoing training and professional development
• Stable work environment in a growing agricultural business