Smart Data Solutions Location Jobs in Usa

20,511 positions found — Page 6

AI Finance - Senior Manager - Tech Consulting - Location Open
$250 +
Washington, DC 4 days ago

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem


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.


Consulting - Tech Consulting - FinTech – AI Finance - Senior Manager

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.


The opportunity

The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.


Your key responsibilities

The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.


As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:



  • Leading the design and delivery of system architecture solutions in collaboration with technical teams.


  • Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.


  • Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.



Skills and attributes for success

  • Proven ability to manage and deliver complex solutions.


  • Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.


  • Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.


  • Managing expectations of client service delivery.


  • Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.


  • Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.


  • Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications


  • Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies


  • Leading the design and implementation of an extensible common information model for the FDL Blueprint


  • Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps


  • Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security


  • Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL


  • Supporting the establishment and maintenance of a robust data governance framework for the FDL


  • Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications


  • Ability to travel as required for client engagements and project needs.



To qualify for the role, you must have

  • Bachelor\'s degree in Finance, Accounting, Business, Computer Science


  • Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:


  • Strategic financial planning, budgeting, and forecasting processes


  • Financial modeling and scenario analysis


  • Variance analysis and management reporting


  • Cross-functional collaboration with business stakeholders


  • Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:


  • Anaplan (Certified Model Builder preferred)


  • Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)


  • Oracle Hyperion


  • OneStream, Tagetik, or similar platforms


  • Solid understanding of financial data architecture and governance, including:


  • Financial data modeling and dimensional design


  • Chart of accounts structuring and hierarchy management


  • Data quality standards and reconciliation processes


  • Master data management for finance applications


  • Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)


  • Excellent communication, collaboration, and problem-solving skills


  • Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies


  • Strong business skills including relationship management, commercial awareness, and communication.


  • Strong analytical and problem solving skills as well as excellent oral and written communication skills


  • A willingness to travel to meet client needs.



Ideally, you’ll also have

  • Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred


  • A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.


  • Exceptional interpersonal skills to foster team collaboration and client trust.


  • A proactive approach to problem-solving and decision-making.


  • Experience in leading diverse teams in dynamic environments.



What we look for

We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.


What we offer you

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 $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. 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.



Are you ready to shape your future with confidence? Apply today.


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 | Building a better working world


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


#J-18808-Ljbffr
Not Specified
AI Solutions Specialist
Salary not disclosed
Purchase, NY 3 days ago

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The AI SolutionsSpecialistis responsible forpartnering with business and technology stakeholders to design, integrate, and deliver AIpowered conversational agents and workflow automation solutions across the enterprise. This roleleads tothe technical implementation of AI platforms and agent development tools, ensuring secure, scalable, and compliant solutions that drive productivity and business value.Deep coding expertise is notrequired. However, the candidate must understand modern technology stacks, AI concepts, and system integration terminology.The ideal candidate will thrive inan evolving,fast-changingenvironment,where AI capabilities and standards continue to mature.

Essential Duties and Responsibilities

  • Work closely with business stakeholders toidentifyautomation opportunities.
  • Lead the technical set up and integration ofconversational AI platform & agent development studiowithin the enterprise environment.- copilot agents preferred, deploying across enterprise not for personal use.
  • Analyze business processes, data flows, and system architectures to support AI solution design.
  • Support configuration and deployment of AI-powered agents,applications,and workflows.
  • Design,build,and customize AI agents to automate workflows and improve productivity.
  • Utilizedata platforms such asMicrosoft Fabric, Snowflake, Databricks, AWSfor data orchestration, governance, and compliance.
  • Ensure seamless interoperabilityof agentsacrossMicrosoft and other enterprise applications asrequired.
  • Evaluateand implement secure API integrationswith enterprise systems using APIsandconnectors to enable data exchange and workflow automation.
  • Apply best practices for data security, identity management, and compliance with organizational and regulatory standards.
  • Apply analytical judgment to assess feasibility, scalability, data readiness, and risks of AI use cases.
  • Collaborate withcybersecurityand product teams to build robust AI solutions
  • Test new AI agent enhancements, integrations, and fixes prior to release to ensure quality and expected behavior.
  • Track and analyze performance metrics, including response quality, speed, reliability, andcost-effectivenessof AI agents and automated workflows.
  • ContinuouslyoptimizeAI solutions based on performance data, user feedback, and evolving business needs.
  • Document requirements, solution designs, architecture diagrams, and integration approaches in a clear and concise manner.
  • Contribute to internal standards, reusable patterns, and best practices for AI agent and automation development.
  • Support knowledge sharing and enablement across technical and business teams.

Qualifications Expected for Position

  • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related fieldor equivalent combination of education and relevant professional experience.
  • Advanced certifications or coursework in cloud platforms, data engineering, or AI/ML preferred.
  • 3+years of experience in solution architecture, systems integration, automation engineering, or applied AI roles.
  • 1+ year demonstrated ability to design, build, and deployAI-poweredagents, workflows, or conversational applications.
  • Proven experience working directly with business stakeholders to translate operational needs into scalable technical solutions.
  • Hands-on experience implementing enterprise automation or conversational AI solutions across multiple departments or use cases.
  • Experienceoperatingin regulated orsecurity-consciousenvironments, supporting compliance and governance requirements.
  • Strong experience designing and implementing enterprise system integrations using APIs, connectors, and automation frameworks.
  • Experience working with modern data platforms (e.g.,Microsoft Fabric, Snowflake, Databricks, AWS) to support data orchestration, access control, and compliance.
  • Solid understanding of identity management, access controls, and data security best practices.
  • Ability to assess AI solution feasibility, including data readiness, scalability, performance, and cost considerations.
  • Strong analytical andproblem-solvingskills with the ability to apply sound judgment to ambiguous or emerging AI use cases.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to nontechnical audiences.

The base salary range for this position is$130,000 - $140,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

  • Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

  • Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

  • Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

  • Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

  • Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

  • Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Not Specified
Business Development Executive - Data & AI, Azure
✦ New
Salary not disclosed
Chicago, IL 1 day ago
Business Development Executive

Collectiv is seeking a dynamic, results-driven Business Development Executive with a growth mindset and a hunter mentality to drive new business in a complex consulting environment. This role requires a proven track record in selling Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI-driven technologies.

Join Our Team

Are you passionate about leveraging Data & AI to drive business transformation? At Collectiv, we empower organizations to unlock the full potential of Microsoft's Data & AI ecosystem. As part of our team, you'll build strong client relationships, drive strategic growth, and sell impactful solutions that shape the future of data-driven decision-making.

Skills and Experiences
  • Experience selling Microsoft Data & AI consulting services is required.
  • Proven success in selling consulting engagements related to Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI/ML solutions is required.
  • Proven track record as a proactive business developer, excelling in identifying and closing net-new opportunities in a competitive market is required.
  • Ability to act as a trusted advisor, addressing complex business challenges with data strategy, analytics, and AI-driven solutions.
  • Experience selling at the C-suite level, driving strategic business transformation.
  • Growth mindset, with a focus on overcoming obstacles, executing high impact initiatives, and delivering tangible business outcomes.
About You
  • You are a proactive dealmaker who excels at identifying and closing high-value opportunities in the Data & AI space.
  • You are a self-motivated, strategic thinker who thrives in complex sales cycles and consultative engagements.
  • You bring energy, collaboration, and perseverance, navigating challenges to drive successful outcomes.
  • You have exceptional interpersonal skills, building trusted relationships with clients, partners, and internal teams.
  • You anticipate challenges and address objections with a solutions-oriented, consultative approach.
  • You are a persuasive communicator and influencer, effectively aligning technology solutions with business needs.
What You'll Do
  • Specialize in Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, and AI-driven technologies.
  • Identify, develop, and close high-impact data transformation opportunities, managing the entire sales lifecycle.
  • Drive revenue growth by cultivating strong relationships with enterprise and mid-market clients.
  • Partner closely with Microsoft teams and ecosystem collaborators, leveraging co-sell opportunities and joint go-to-market strategies.
  • Build and maintain a strong sales pipeline, ensuring consistent and sustainable business expansion.
  • Stay ahead of market trends, competitive landscapes, and emerging Microsoft Data & AI advancements to offer informed solutions.
  • Work in collaboration with Collectiv's consulting and delivery teams, ensuring smooth transitions from sales to execution for client success.

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values:

Growth Mindset Bring solutions, not problems.

Excel with Humility Be humbly brilliant.

Communicate Actively and Empathically Listen, ask, understand, help.

Work Hard, Play Hard Results are proportional to effort.

Keep Calm and Carry On Stay cool, calm and Collectiv.

Not Specified
Associate Partner, Data and Technology Transformation
$250 +
Chicago, IL 2 days ago
Introduction
Your role and responsibilities
About the Opportunity

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.


Key Responsibilities
Market Leadership & Growth

  • 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.



Strategic Advisory & Transformation Delivery

  • 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.



Engagement Excellence & Financial Stewardship

  • 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.



Practice Building & Talent Development

  • 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.



Thought Leadership & Market Presence

  • 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."


Required technical and professional expertise
Qualifications

  • 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.



Preferred technical and professional experience

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.


#J-18808-Ljbffr
Not Specified
Staff Data Engineer ( Boston or Chicago )
Salary not disclosed
Chicago, IL 2 days ago

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
  • Better together:We check our egos at the door. We work together, so we win together.
Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience.The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.

Duties & Responsibilities

Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills

Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.

Qualifications

Minimum Qualifications

5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Not Specified
BIS Internal Solutions Developer - Power Platform
Salary not disclosed
Sanford, FL 3 days ago

Overview

We are looking for a technically strong, business-minded developer to design, build, and maintain internal applications and automations that improve how our team’s work. This role supports business processes, data, and technology and plays a key role in modernizing workflows across the organization. This role is suited for a strong mid-level to senior developer who can work independently while collaborating closely with team members and stakeholders.

While Microsoft Power Apps and Power Automate are core tools today, this role goes beyond low-code development. The ideal candidate brings strong fundamentals in application design, data flow, and user experience, with the ability to build scalable, secure, and well-documented solutions that can grow with business.


Key Responsibilities

  • Design, build, and maintain end-to-end internal business applications using Microsoft Power Apps and related technologies.
  • Develop business logic and workflow automation using Power Automate, integrating with internal and external data sources including Dataverse, SharePoint, SQL databases, and third-party APIs.
  • Partner with stakeholders and leadership across multiple departments to understand business processes, gather requirements, and translate needs into practical, scalable technical solutions.
  • Design secure, role-based solutions with appropriate permissions, governance controls, and environmental strategies following Power Platform ALM best practices.
  • Ensure applications are well-structured with clean data flow, clear separation of logic, and thoughtful handling of edge cases and exceptions.
  • Monitor, enhance, and support existing applications and automations to improve reliability, performance, and user adoption over time.
  • Produce clear and thorough documentation covering business requirements, technical design, data structures, workflows, and known constraints.
  • Contribute to and follow established development standards, templates, and best practices to ensure solutions are consistent, maintainable, and easy for other developers to support or extend.
  • Provide technical guidance and information sharing with the team and collaborate on problem-solving with less-experienced developers.


Technical Requirements (Must Have)

  • Hands-on experience building and maintaining custom, end-to-end applications using Power Apps.
  • Strong experience developing business logic and workflows using Power Automate.
  • Experience integrating multiple data sources, including Dataverse, SharePoint, SQL databases, and external APIs.
  • Ability to design secure, role-based solutions with an understanding of Power Platform governance, environments, and ALM practices.
  • Strong understanding of user-centered design principles and how they influence application structure, usability, and adoption.
  • Proven ability to design solutions with well-organized data flow and clear movement of information between systems.
  • Strong written communication skills, with the ability to create detailed technical and functional documentation.


Preferred Skills

  • Power BI development experience using existing datasets and data models.
  • Strong working knowledge of DAX and Power Query (M language).
  • Experience building reports or dashboards that support operational or financial decision-making.

Experience Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
  • 3-5 years of experience designing and delivering business applications or workflow automation solutions.
  • Demonstrated experience delivering end-to-end solutions.
  • Experience partnering directly with business stakeholders to translate operational needs into scalable technical solutions.


UI & Front-End Development Foundations

Even when working within low-code platforms, developers in this role are expected to understand core UI and front-end concepts, including:

  • HTML, CSS, and JavaScript fundamentals
  • Component-based design and reusable UI patterns
  • Responsive design principles
  • Basic state management concepts
  • Accessibility and usability best practices


Our recruiting process is centralized and is handled by our HR Department. If we are sent unsolicited resumes from recruiters, we will not pay any recruiting fees. Unsolicited resumes are any resumes sent to us by a recruiter who has not been pre-approved by HR, has not signed our contract, and has not been requested by our HR Department to search for a specific position.

Not Specified
Data Analyst-Hybrid position in Los Angeles, California
Salary not disclosed
Qualifications: Minimum of 10 years of experience required with data and metrics analysis.

Minimum of five years experience working in analytics with hospitals and health plans.

Advanced proficiency required with VBA, SQL, Salesforce, Excel and Access.

High-level skills using web applications and all browsers; ability to teach others how to use web-based database functions.

Demonstrated experience using Microsoft Office computer applications, including Word, Access, Outlook and SharePoint.

Advanced knowledge of Excel required.

Detail-oriented with strong follow-through and ability to work independently given standard guidelines and checklists.

Good writing and communication skills.

Able to draft grammatically correct and professional email messages.

Demonstrated experience in working successfully with minimal supervision.

Must have knowledge of medical and health care terminology.

Ability to complete HIPAA training and implement high-level protections on patient information and confidentiality.

Must work effectively independently and in a team setting.

Ability to relate well with internal and external customers.

Quality/Metrics: Gather and perform analysis on data from Salesforce, Loopback, Excel, and other databases as required.

Perform data cleaning as needed to ensure data are consistent and analyzable.

Create data reports, charts, graphs and tables for regular reporting to program leads and external partners.

Export data from software systems and program tracking logs for agency reporting.

Assemble reports, papers and presentation materials as directed.

Collect data through phone and in-person interviews.

Record or transcribe data in accordance with project and funding source guidelines.

Perform literature reviews (locating, listing &/or abstracting articles).

Enter literature references into shared database (such as EndNote) Responsibilities: Data cleaning, formatting, and maintenance as needed.

Data visualization and analysis of program metrics.

Data Entry for the program(s) assigned.

Program reporting/billing/invoicing support.

Administrative duties as needed (Mailing and other assigned work) Establish and maintain systems for program accountability – reports track performance.

Attend and ensure follow up after all meetings and presentations – minutes, reports, action plans, assignments, and etc.

Monitors performance, responsibilities of field staff with respect to database management, metrics, and documents.

Reports all errors in systems, workflows, and both internal and external individuals.

Completes reporting (both internal and contractual requirements) with thorough knowledge and understanding of what is being reported.

Develops and maintains a current understanding of the Department’s Contractual Agreements.

Must have professional verbal and written skills, computer/software skills.

Assists with both internal and external customer service calls, emails, and requests.

Other Miscellaneous tasks assigned, as needed.

SQL Server database design, implementation, troubleshooting Develop, optimize, and maintain complex T-SQL queries, stored procedures, indexes, constraints; resolve performance issues, deadlocks, and contentions using traces, execution plans, and profiling.

Design, develop, test, and implement ETL/ELT processes using Talend for data extraction, transformation, and loading from diverse sources, including Salesforce CRM data.

Administer and optimize Talend environment, including job scheduling, dependencies, monitoring, automation, patches, upgrades, and performance tuning.

Integrate Salesforce data (e.g., via APIs, connectors) into SQL Server databases and data warehouses, ensuring data quality, synchronization, and real-time/ batch processing.

Collaborate face-to-face/with business stakeholders to analyze requirements, gather specifications, evaluate data sources/targets, and design solutions that improve business performance.

Lead ETL development activities, ensure code quality, provide feedback on performance.

Support enterprise data warehouse, data marts, and business intelligence initiatives; perform source data analysis and dimensional modeling.

Develop and automate processes using scripting.

Provide tier 2/3 support, evaluate production issues, recommend improvements, and participate in project planning following Agile methodologies.

Perform proactive performance optimization, and data synchronization across environments Mentor staff, recommend process enhancements, and contribute specialized knowledge across IT and business operations.

Document data integration processes, workflows, ETL designs, data mappings, technical specifications, and system configurations Manage version control, deployments Collaborate on testing (unit, integration, UAT Translated business requirements into actionable data specifications, documentation, and code solutions using Salesforce Object Manager and official documentation Reviewed Salesforce release notes, verified production deployments, and conducted feature testing across sandbox and production environments with detailed feedback submission Developed and maintained complex SOQL queries to support data team operations, reporting, and analytics needs Designed and built custom Salesforce reports to support data operations and Enhanced Care Management (ECM) programs Developed and deployed end-to-end solutions for processing health plan MIF data, enabling efficient insert, update, and reporting workflows for Lead and Case objects Performed large-scale data inserts, updates, and migrations using Salesforce Data Loader in both sandbox and production environments Extracted, analyzed, and transformed backend Salesforce data using Talend and SQL to produce accurate reports for compliance, billing, and operational needs Identified and resolved reporting discrepancies and data quality issues through root-cause analysis and targeted corrections Cleaned, standardized, and transformed referral data for mass uploads into Salesforce while enforcing validation rules and workflow requirements Created Salesforce-based error reports that enabled program teams to quickly identify and correct data entry issues Conducted data gap analyses against vendor reporting requirements and designed field transformations and new data structures to meet compliance and reporting standards Integrated offshore datasets with Salesforce records to address missing or incomplete data, improving accuracy for reporting and billing Reduced manual data entry and correction efforts by automating large-scale updates, inserts, and fixes via Salesforce Data Loader Maintained vendor zip code records in Salesforce to ensure accurate service area tracking, correct billing rates, and reliable historical reference Partners in Care Foundation is an equal opportunity employer.

We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.

It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race (including hair texture and protective hairstyles, such as braids, locks, and twists), color, national origin, ancestry, religion, sex, sexual orientation, pregnancy (including childbirth, lactation/breastfeeding, and related medical conditions), physical or mental disability, genetic information (including testing and characteristics, as well as those of family members), veteran status, uniformed service member status, gender, gender identity, gender expression, transgender status, arrest or conviction record, domestic violence victim status, credit history, unemployment status, caregiver status, sexual and reproductive health decisions, salary history or any other status protected by federal, state, or local laws.

All qualified applicants will receive consideration for employment and reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.
Remote working/work at home options are available for this role.
Not Specified
Manager, Enterprise Data Services, Data Analytics Enablement Manager
Salary not disclosed
College Park 1 week ago
Job Description Summary: This position is available within the University of Maryland’s Division of Information Technology (DIT).

The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.

This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.

This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.

Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.

The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.

Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.

Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.

Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.

Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.

Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.

Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.

Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.

Support adoption of metadata management, data catalog, and lineage capabilities.

Ensure analytics solutions align with university standards for security, privacy, and responsible data use.

Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.

Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.

Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.

Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.

Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.

Skill in the use of office productivity software such as Office 365 or Google Workspaces.

Ability to lead presentations and training for large groups.

Ability to manage communications and relationships with technical and business stakeholders.

Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.

Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.

Ability to ensure documentation standards and procedures are implemented for all team responsibilities.

Ability to define deadlines and manage the quality of the work delivered.

Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.

Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.

Physical Demands: Sedentary work.

Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.

Repetitive motion.

Substantial movements (motions) of the wrists, hands, and/or fingers.

The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.

Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.

Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.

One (1) year leading or supervising professional staff.

Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.

Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.

Experience managing or mentoring data professionals in a collaborative team environment.

Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.

Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.

Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.

Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.

Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.

Strong communication skills with the ability to engage both technical and non-technical audiences.

Experience using Jira or similar tools for work intake, project tracking, and prioritization.

Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.

Telework is not a guaranteed work arrangement.

Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.

F1 STEM OPT support is not available for this position.

Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .

Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .

Background Checks: Offers of employment are contingent on completion of a background check.

Information reported by the background check will not automatically disqualify anyone from employment.

Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.

The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.

Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.

All qualified applicants will receive equal consideration for employment.

Please read the University’s Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination Notice See above description for requirements
Not Specified
Sr. Manager Data Governance
Salary not disclosed
Richardson, TX 3 days ago

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.




  • 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
Not Specified
Lead Data Scientist (Hybrid)
Salary not disclosed

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

Position Overview

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

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

Key Responsibilities

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

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

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

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

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

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

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

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

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

Preferred Qualifications

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

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

  • Experience building and deploying production solutions

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

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

  • Proficiency in programming languages such as Python

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

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

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

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

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

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

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

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

Preferred Skills

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

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

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

  • Knowledge of data governance and data privacy regulations.

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

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

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

The estimated base pay range for this job is:

$111,300.00 - $207,800.00

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

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

Paid time off:

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

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

  • Holidays: Securian provides nine company paid holidays.

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

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

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

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

  • Mental Wellness and Disability

  • Pride at Securian Financial

  • Securian Young Professionals Network

  • Securian Multicultural Network

  • Securian Women and Allies Network

  • Servicemember Associate Resource Group

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

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

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

To view our privacy statement click here

To view our legal statement click here


Remote working/work at home options are available for this role.
Not Specified
jobs by JobLookup
✓ All jobs loaded