Verrus Data Jobs in Usa

Project Manager – Data Center Construction

Top‑ranked ENR Electrical Contractor

Multiple U.S. Locations:

Columbus, Ohio - Cedar Rapids, Iowa - Port Washington, WI - Santa Teresa, NM - Sparks, NV.

Data Center Construction

For decades, our client has delivered some of the most complex, high‑profile electrical projects in the United States. Their Data Center Division builds mission‑critical facilities nationwide -installing and commissioning electrical systems that power millions of users every day. Their culture is defined by integrity, safety, innovation, and doing the right thing even when no one is watching.

Salary Range: $120,000–$160,000 base

Bonus: Eligible for annual performance bonus

(Compensation varies by market and experience, supported by a robust benefits program.)

The Position: Project Manager - Data Center

The successful applicant will assume responsibility for:

• Leading electrical data center construction projects from qualification through estimating, pre‑con, mobilization, execution, and closeout.
• Ensuring all project and contractual requirements are fulfilled safely, professionally, and within budget and schedule.
• Developing the project execution plan, and managing scheduling and coordination with the Superintendent and field teams.
• Identifying risks, analyzing issues, and implementing recovery action plans to protect schedule and budget.
• Managing full project financials: invoice approval, job cost tracking, productivity monitoring, variance reporting, and financial performance reviews.
• Negotiating change orders effectively to maintain scope clarity and profitability.
• Serving as the primary point of contact for customers, end‑user owners, and subcontractors; developing and maintaining strong external relationships.
• Sourcing and qualifying new project opportunities.
• Building and mentoring a high‑performance project team, ensuring employee development and long‑term growth.
• Exercising sound judgment within established policies; decisions directly influence schedules, outcomes, and project success.

The Candidate

Applicants will be expected to demonstrate:

• 5+ years of experience in electrical construction or related fields, including leadership of multi‑million‑dollar projects.
• 5+ years managing people and electrical construction projects across commercial, utility, alternative energy, or data center markets.
• Strong knowledge of estimating, cost accounting, scheduling, procurement, productivity tracking, and reporting.
• Experience working with union labor, labor rate structures, and collective bargaining agreements.
• A proven ability to lead teams, manage risk, influence stakeholders, and drive projects to successful completion.
• Education: High School Diploma or GED required; Bachelor’s in Construction Management, Engineering, Business, or similar preferred.
• Valid driver’s license and satisfactory driving record.
• Must be authorized to work in the U.S. (no sponsorship available).

The Company

Our client is a top‑ranked ENR electrical contractor known for:

• Delivering complex data center builds with excellence, safety, and integrity.
• Buildingmillion's of sq. ft. of mission‑critical data center space valued at over $2 Billion in electrical systems.
• A culture rooted in people-focused leadership, innovation, and long-term career development.

This is a place where employees have real impact, contribute to meaningful work, and grow their careers on challenging, high‑visibility projects.

Compensation & Benefits

• Competitive base salary: $120,000 - $160,000
• Annual performance bonus eligible
• Market‑adjusted compensation aligned with experience and credentials
• Comprehensive, robust benefits program (medical, dental, vision, etc.)
• Strong emphasis on employee development and advancement

Submit your resume along with a detailed project list showcasing your experience in Data Center Construction.

If you have questions, please get in touch on either:

Email:

Cell: (917) 7464831

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 .

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

The Strategic Data(RWD) Acquisition Manager will be an integral part of Surescripts' data ecosystem by executing negotiations with Surescripts Network Alliance partners to secure data usage rights, while also identifying and acquiring new, strategic data sources. This person will play a critical role in maintaining access to high quality data necessary for the development of solutions that will deliver value and improve the experience for stakeholders across the healthcare ecosystem. This position requires a deep understanding of healthcare data, the regulatory landscape and business development experience to successfully negotiate and secure data agreements that will enhance our product portfolio.

• Identify and evaluate potential data sources of interest that expand Surescripts' data portfolio. Create comprehensive value propositions for how the data could be used within Surescripts' solutions, and valuation of the data to make offers to data sources for data acquisition.
• Drive business development efforts to secure agreements that enhance Surescripts' data portfolio. With guidance from leadership, execute strategies to identify and approach potential data partners, and successfully negotiate terms.
• Collaborate with sales and product teams to develop strategies to align customer incentives with broader data-dependent initiatives. Interface with Surescripts Network Alliance partners to negotiate data usage rights, ensuring alignment with business goals and regulatory requirements.
• Interface with data providers, industry partners, and other stakeholders.
• Manage day-to-day data procurement-related inquiries and negotiations with data providers and customers.
• Maintain a thorough understanding of privacy laws, including HIPAA permitted purposes. Collaborate with compliance, privacy, security, and data governance teams to ensure all data procurement activities comply with all state and federal regulations, internal policies, and customer contracts.
• Monitor and report on data procurement activities. Track progress of data procurement efforts, report on key metrics, and provide regular updates to senior management. Proactively identify and address any challenges or obstacles in the procurement process. Monitor and evaluate the ROI of data acquisition initiatives to prioritize high-impact opportunities.
• Keep up-to-date with the latest developments in data rights, privacy regulations, and the healthcare industry. Apply and share this knowledge to improve data procurement strategies and ensure the company remains compliant and competitive.

Qualifications:

Basic Requirements:

• Bachelor's degree in Business, Economics, Data Science, or related field;
• 8+ years of experience in business development and/or related experience in the procurement/acquisition of healthcare data.
• Strong understanding of regulations around healthcare data, including Health Insurance Portability and Accountability Act (HIPAA) and Trusted Exchange Framework and Common Agreement (TEFCA).
• Ability to evaluate the value and quality of data assets and their applicability to business needs.
• Proven experience in negotiating contracts and managing vendor relationships.
• Demonstrated success in business development and deal negotiation.
• Excellent written and verbal communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Ability to travel for team, customer and vendor meetings as needed.
• Strategic thinker with strong analytical and problem-solving abilities and results-driven mindset.

Preferred Qualifications:

• MBA or advanced degree preferred in a related field.
• Strong understanding of healthcare interoperability standards, such as Fast Healthcare Interoperability Resource (FHIR).
• Strong understanding of electronic health records (EHR), pharmacy and claims data, health information exchanges (HIE), and TEFCA qualified health information networks (QHINs)
• Familiarity with data governance tools (e.g. data mapping, lineage

#LI-remote

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now

We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.

The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.

Responsibilities:

Data Analysis & Business Insights
* Conduct in-depth data analysis to support strategic business initiatives.
* Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities.
* Respond to data discovery requests and operational reports development to support key business metrics and decision-making.
* Deploy best practices and make recommendations for improved understanding.
* Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders.
Enterprise Reporting & BI Dashboard Development
* Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions.
* Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights.
* Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights.
* Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities.
* Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights.
Data Quality Support & Validation
* Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards.
* Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users.
* Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools.
* Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.

* 3+ years of experience in data, analytics, or business intelligence.
* Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field.
* Proficient in SQL for data extraction and manipulation across various data sources.
* Strong analytical skills to interpret complex datasets and draw actionable insights.
* Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development.
* Familiar with advanced Excel functions for data manipulation and reporting.
* Understanding of statistical methods and trend analysis for identifying patterns and creating projections.
* Familiar with predictive modeling or basic machine learning concepts is a plus.
* Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus.
* Basic understanding of data integration, ETL processes, and data warehousing concepts.
* Skilled in presenting data in a way that tells a compelling story and drives informed decision-making.
* Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT.
* High level of precision in data analysis, ensuring reports and insights are accurate and free of errors.
* Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions.
* Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision.
* Strong organizational skills to balance multiple projects and meet reporting deadlines.
* Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment.
* Open and motivated to learn new tools, methods, and data practices.

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

• 
  
• 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

• 
  
• 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

• 
  
• 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

• 
  
• 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

• 
  
• 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
  

Job Title: Distribution and Marketing Data Product Manager

Division: Beazley Shared Services - Data Management

Location: Multiple Locations, US

Hybrid Role

Reports To: Head of Data Products

Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders

Beazley:

Beazley is a global specialist insurance company with over 30 years' experience helping people,

communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.

We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.

Data @ Beazley:

Our Data team supports Beazley's vision by...

* Being bold through pioneering & championing an exciting vision of how people interact with data

* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies

* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently

* Being the single source of truth for enterprise-wide reporting metrics and KPIs

Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.

The Role:

Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.

Key Responsibilities:

• Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.

• Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.

• Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.

• Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.

• Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.

• Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.

• Represent the business in data governance discussions, escalating issues as appropriate.

• Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.

• Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.

• Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.

• Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.

• Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.

• Provide leadership, direction, development and support to direct reports (including off-shore resources).

Essential Criteria:

• Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred

• Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services

• Experience working with data, building data models, and sharing insights

Skills and Abilities:

• Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth

• Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred

• Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred

• Strong organization and communication skills with the ability to direct work, document requirements and present demos

• Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data

• Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth

Knowledge and Experience:

• Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred

• Strong understanding of MDM and CRM systems and their use with Customer and Broker data

• Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling

• Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance

• Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities

• Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes

• Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles

• Experience in managing and manipulating large internal and external datasets

• Knowledge of relational and dimensional database structures, theories, principles, and practices

• Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment

• Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold
• Strive for better
• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour
• Beazley SHE - Successful, High potential, Empowered women in insurance
• Beazley Proud - Our global LGBTQ+ community
• Beazley Wellbeing - Supporting employees with their mental wellbeing
• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)
• iLearn (our own learning & development platform)
• LinkedIn Learning
• Mentorship program
• External qualification sponsorship
• Continuing education and tuition reimbursement
• Secondment assignments

The Rewards

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
• Up to $700 reimbursement for home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
• Up to 26 weeks of fully paid parental leave
• Up to 2.5 days paid annually for volunteering at a charity of your choice
• Flexible working policy, trusting our employees to do what works best for them and their teams

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Office of Institutional Research and Planning (IRP) at Georgia Tech is a research and analytics service unit dedicated to supporting the campus community. Our team of institutional research and data analytics professionals combines technical and creative skills to inform institutional strategic decision-making, planning, and research across campus. In addition to institutional reporting and compliance, IRP provides data education, support, and resources to all campus units.

Visit our website to learn more about what we do:

Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies.

Job Duty 1 -
Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.

Job Duty 2 -
Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.

Job Duty 3 -
Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.

Job Duty 4 -
Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.

Job Duty 5 -
Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.

Job Duty 6 -
Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.

Job Duty 7 -
Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.

Job Duty 8 -
Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.

Job Duty 9 -
Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.

Job Duty 10 -
Perform other job-related duties as assigned.

The Institutional Research Data Analyst will also be expected to perform various duties specific to institutional research, including but not limited to:

• Responding to intermediate to high difficulty/complexity ad-hoc data and analysis requests
• Adhering to federal, state, and institutional policies, regulations, and requirements related to data security, privacy, and governance

• Completing or supporting the completion of externally-driven compliance and data-related reporting including

  • Federal, e.g., IPEDS, NSF-HERD, NSF-GSS, etc.
  • State, e.g., USG data collections, data requests, etc.
  • Higher education organizations, e.g., AAUDE, SREB, NSC, accrediting bodies, etc.

Educational Requirements
Bachelor's Degree in related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required (some profiles may require additional education).

Required Experience
Four or more years of relevant experience.

Annual Salary Range: $75,751 to $80,000

SKILLS
o Performs all the standard and technical aspects of the job
o Applies in-depth professional, technical, or industry knowledge to manage significantly complex
assignments/projects/programs
o Advanced knowledge of principles and practices of a particular field of specialization and Institute
policies, practices, and procedures

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.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

Job Title: Enterprise AI-Ready Data Architect / Senior Data Engineer

Duration : 6 Months

Location: East Hanover (Onsite: 3days & 2 days remote a week)

Job Description:

The Enterprise AI-Ready Data Architect / Senior Data Engineer is a hybrid role with a focus on enterprise data architecture, AI integration, and hands-on data engineering. You will design and implement AI-ready, analytics-ready data products and semantic layers (including ontologies) that enable scalable enterprise analytics and integration with AI agents and GenAI use cases. You will embed governance-by-design (quality, lineage, contracts, observability) and partner closely with business and technology stakeholders—in pharmaceutical domains.

Key Responsibilities

1) Enterprise Data Architecture (AI-Ready by Design)

• Define and deliver strategic enterprise data architectures that scale and support AI-ready outcomes.

• Design data workflows capturing as-is and to-be states for enterprise modernization.

• Establish architecture patterns for:

• Semantic Context Layer

• Data Warehouses, Data Lakehouses

• Data Catalogs and Data Marketplaces

• Event-driven and metadata-driven architectures

• Distributed data management (Data Mesh, Data Fabric, Domain-Driven Design)

• Streaming data management

2) Data Products, Semantic Products, and Master Data

• Design data products that are AI-ready and reusable across domains and use cases.

• Build and govern semantic models, metrics-first modeling, and ontologies (knowledge graph concepts).

• Deliver Master Data Management (MDM) capabilities and align master/reference data with business needs.

• Support structured and unstructured data management to enable broader AI and analytics capabilities.

3) AI Integration and GenAI Enablement

• Enable contextual intelligence and data enrichment using:

• Contextual retrieval, entity linking, enrichment using LLMs and embeddings

• Vector search, RAG pipelines, and LLM-based enrichment

• Implement graph-based approaches:

• RDF, OWL, and SPARQL querying

• Property graph / knowledge graph modeling for relationships and reasoning

4) Data Engineering Delivery

• Design and implement robust ETL/ELT pipelines and orchestration frameworks.

• Develop high-quality transformations and data modeling using:

• Advanced SQL

• Tools such as dbt, Airflow, Dataiku

• Ensure production-grade engineering practices for performance, reliability, and maintainability across pipelines.

5) Governance and Standards (Embedded)

• Implement open-source data standards across:

• Data contracts

• Data quality

• Data lineage

• Lead metadata-driven governance through metadata management, observability, and policy-aligned design.

Skills and Qualifications

Core Technical Skills

Advanced SQL proficiency

Data platforms and governance tooling experience (one or more):

Snowflake, Databricks, Collibra, Salesforce

ELT/ETL and orchestration:

dbt, Airflow, Dataiku

BI and reporting:

Power BI

Cloud platforms:

AWS, Azure, GCP

Modern architecture and data management:

Data Mesh, Data Fabric, streaming, metadata-driven architecture

Graph and semantic technologies:

Knowledge graphs, property graphs (Neo4J), RDF/OWL, SPARQL, graph query languages

Domain and Modeling Expertise

• Experience with data modeling techniques:

• Conceptual, logical, physical modeling—preferably for the pharmaceutical industry

• Semantic modeling, ontology design, and reusable metric layers

• MDM concepts and implementation approaches

AI and GenAI Enablement Skills

• Familiarity with GenAI technologies for enhancing analysis/reporting and data enrichment

• Experience with embeddings, vector search, RAG patterns, and entity resolution/linking concepts

Nice to Have

• Experience with Palantir platform

Recommended Certifications

• CDMP (DAMA)

• TOGAF

• EDM Council frameworks:

• DCAM, CDMC, Open Knowledge Graph, Data Ethics and Responsible AI

Qualifications

• 10+ years of experience in data architecture, process automation, implementation and large-scale data engineering, ideally in pharmaceutical

• Advanced technical engineering and hands-on experience in data modeling for OLAP, workflow automation, AI/ML integration

• ETL pipeline design and development

• Bachelor’s degree in computer science, information technology, engineering, or data science

• Strong problem-solving skills and attention to detail.

• Excellent communication skills with the ability to work with senior stakeholders to translate business requirements to technical data requirements

IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.

You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.

This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.

• 
  

• Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.

  
  

• Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.

  
  

• Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.

  
  

• 
  

• Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.

  
  

• Architect integrated solutions that include:

  
  

• Migration from legacy data platforms to modern cloud-based architectures

  
  

• Data engineering and Information governance

  
  

• Business intelligence and advanced analytics

  
  

• GenAI-powered and agentic AI-driven automation and decisioning

  
  

• Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.

  
  

• 
  

• Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.

  
  

• Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.

  
  

• Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.

  
  

• 
  

• Recruit, mentor, and grow top-tier consultants, architects, and data specialists.

  
  

• Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.

  
  

• Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.

  
  

• 
  

• Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.

  
  

• Represent IBM at industry conferences, client events, webinars, and executive roundtables.

  
  

• Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.

  
  

This position can be preformed anywhere in the US.

"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."

• 
  

• 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.

  
  

• Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.

  
  

• Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:

  
  

• AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)

  
  

• Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)

  
  

• Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)

  
  

• Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.

  
  

• Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.

  
  

• Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.

  
  

• Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.

  
  

• Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.

  
  

• Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.

  
  

• Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.

  
  

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

Job Description

What you will do – Essential Responsibilities

• Given long term strategic goals, can lay out a path across many versions.
• Participates in and supports initiatives outside of main area of responsibility.
• High degree of influence of data product direction and has ownership over large components.
• Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
• Provides technical leadership for projects including 3–4 senior level individuals.
• The data engineer will be considered a blend of data and analytics “guru.” This role will promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.
• Work with data governance team members and information stewards and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
• May be required to present at conferences to demonstrate company’s technical prowess.

Purpose of the role

Senior Principal Engineers partner with Engineers and Solution Architects to develop solutions and implement standards that ensure an unrivaled data experience. You are an expert in your craft and seen as a platform and implementation owner. You are an active contributor in the industry and have a passion for continuous learning.

Senior Principal Engineers practice hands-on development, have oversight of the technical tasks of others, and are the owners of the standards and best practices. Our Senior Principal Engineers act as a technical mentor to others and is an expert in supporting multiple areas of the business.

Qualifications and Requirements

Basic Qualifications

• Bachelor’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 8+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred or
• Master’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 6+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred.

Preferred Qualifications

• Expert experience working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include [ETL/ELT, data replication/CDC, message-oriented data movement]
• Strong/expert experience with multiple advanced analytics tools languages such as [R, Python, Java, C++, Scala, others].
• Strong/expert experience with popular database programming languages including [SQL, PL/SQL, others] on both relational and non-relational databases.
• Strong experience with cloud data platforms such as Databricks, Snowflake
• Expert experience with data discovery, analytics, and data quality controls
• Expert experience in data modeling and ontologies
• Strong experience with microservices to Serve Data
• Strong experience in cloud platforms such as Azure, AWS, GCP

Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.

• Associates based in Richmond work onsite 5 days per week.
• Associates based in Plano work onsite 2 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Job Title: Senior Manager, Data Architecture (Ref: 195759)

Location: Charlotte, North Carolina – In-Office (5 Days Per Week)

Salary: Up to $175,000 + Bonus

Contact:

We’re looking for an experienced and forward-thinking Senior Manager, Data Architecture to define and lead the enterprise data architecture strategy within a large-scale, data-driven organization. This is a high-impact leadership role where you’ll shape the long-term data roadmap, modernize architecture standards, and guide the evolution of a cloud-based data platform.

In this role, you’ll lead a team of data architects and modelers while partnering closely with Data Engineering, Analytics, BI, Platform, and business stakeholders. You’ll ensure scalable, secure, and high-performing data solutions that enable advanced analytics, operational reporting, and strategic decision-making across the enterprise.

What You’ll Do

• Define and maintain the enterprise data architecture vision aligned to business and technology strategy
• Lead, mentor, and grow a team of data architects and modelers, establishing best practices and standards
• Design and govern scalable data platforms leveraging Azure, Snowflake, and Databricks
• Establish enterprise standards for data modeling (Dimensional, 3NF, Data Vault), integration, and storage
• Define architecture patterns for ingestion, transformation, and cross-domain data integration
• Drive architectural consistency across analytics, BI, and operational data products
• Partner with Data Governance teams to enforce data quality, lineage, metadata, and compliance standards
• Ensure solutions meet security, privacy, and regulatory requirements
• Collaborate with Engineering and Platform teams on cloud architecture and long-term technical roadmap
• Communicate complex architectural designs clearly to both technical and executive stakeholders

What You’ll Bring

• 7+ years of experience in data architecture or advanced data engineering roles
• 5+ years in a dedicated Data Architect or equivalent leadership capacity
• Deep experience designing enterprise-scale data platforms in cloud environments
• Strong expertise in Microsoft Azure data services
• Expert-level knowledge of Snowflake and Databricks
• Extensive experience with enterprise data modeling methodologies (Dimensional, 3NF, Data Vault)
• Experience with data modeling tools such as Erwin (preferred)
• Proven experience leading or mentoring architects or senior technical professionals
• Strong understanding of governance, security, and regulatory considerations in enterprise data environments
• Exceptional communication skills with the ability to influence senior stakeholders

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
• 10+ years of progressive experience in data architecture, engineering, or enterprise data platform design

Be part of an amazing story

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

Job Overview

The Data Steward plays a direct role in making Macy’s data usable, trusted, and decision-ready. This role owns the quality and clarity of data definitions in the enterprise catalog, ensuring teams can quickly find, understand, and confidently use data to drive business outcomes. Partnering closely with analytics, product, and engineering teams, the Data Steward helps turn complex data into a reliable asset that powers everyday decisions across the company.

What You Will Do

• Maintain and enhance the Enterprise Data Catalog, including domains, assets, attributes, KPIs, definitions, and relationships.
• Collaborate with business and technical stakeholders to define and enforce metadata standards, naming conventions, and certification workflows.
• Validate technical metadata and lineage ingested from multiple sources.
• Monitor catalog usage and provide training and support to end users.
• Partner with data owners and stewards to ensure proper data ownership and stewardship assignments.
• Develop and maintain SOPs, training materials, and documentation.
• Perform data profiling and quality checks to ensure metadata accuracy and completeness.
• Define data quality checks with business stakeholders and validate implementation results.
• Support the Data Governance Architect and other governance team members as needed.
• Serve as subject matter expert for assigned data domains.

Skills You Will Need

• Data Stewardship: Applies governance principles to maintain accurate and complete metadata across enterprise systems.
• Collibra Expertise: Utilizes Collibra tools to manage data catalog assets and workflows effectively.
• Metadata Management: Ensures consistency and compliance with established standards for metadata and lineage.
• Data Quality Analysis: Conducts profiling and validation to maintain trusted data assets.
• Communication: Builds strong relationships with stakeholders and conveys technical concepts clearly.
• Regulatory Knowledge: Understands data privacy regulations such as GDPR and CCPA.

Who You Are

• 2 to 3 years of experience in data stewardship, governance, and metadata management.
• Skilled in Collibra with certification preferred.
• Possesses a curious mindset to build a foundational understanding of the retail business sector.
• Possesses high levels of ownership, innovation, and simplification with a strong bias for action.
• Knowledgeable about data privacy regulations and data classification practices.
• Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
• Able to work a flexible schedule based on department and company needs.

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.

Some additional benefits we offer include:

• Merchandise discounts
• Performance-based incentives
• Annual merit review
• Employee Assistance Program with mental health counseling and legal/financial advice
• Tuition reimbursement

Access the full menu of benefits offerings here.

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

Summary

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Define architecture standards and best practices for data warehousing and cloud infrastructure.
• Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Additional Functions

• Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS.
• Implement robust security measures to ensure data privacy and comply with regulatory standards.
• Leverage cloud-native automation tools to streamline data management and reduce manual processes.
• Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations.
• Design and implement data integration solutions to automate data flow between systems and databases.
• Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.
• Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors.
• Provides training and support to the end users of the cloud solutions.
• Maintain detailed architecture documentation and best practices for the organization’s data cloud infrastructure.
• Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions.
• Understands cloud FinOps including chargeback and alert monitoring

Qualifications

• 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture.
• A bachelor's degree or higher in computer science, information systems, or a related field.
• Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.)
• Knowledge of data security, encryption, and compliance in cloud environments.
• Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience with data modeling tools.
• Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar.
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

• This position requires in-person office presence at least 4x a week.