The Role
Leads an enterprise analytics portfolio spanning BI, reporting, advanced analytics, predictive insights, and AI enablement. Develops analytics strategy, modernizes reporting and data practices, governs quality and responsible AI, and partners with business, product, engineering, data science, and governance teams. Manages analytics leaders and multidisciplinary teams, translates business needs into measurable use cases, evaluates solutions, communicates recommendations to executives, and drives adoption, operational performance, and business value.
Summary Generated by Built In
Requisition Number: 2396893
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
The Senior Manager - Data Analytics and AI Enablement will lead an enterprise analytics portfolio spanning business intelligence, reporting, advanced analytics, and insight delivery while helping the organization responsibly adopt AI/ML-enabled capabilities. This role will translate complex business needs into scalable analytics solutions, lead multidisciplinary teams, modernize data and reporting practices, and partner with business, product, data science, engineering, architecture, and governance teams to deliver measurable outcomes.
The position requires solid analytics leadership and practical exposure to predictive analytics, machine learning, Generative AI, natural language processing, and intelligent automation. It is designed for a leader who can identify high-value use cases, define business and data requirements, guide evaluation and adoption, and partner effectively with technical specialists; it is not a hands-on AI platform engineering role.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
The Senior Manager - Data Analytics and AI Enablement will lead an enterprise analytics portfolio spanning business intelligence, reporting, advanced analytics, and insight delivery while helping the organization responsibly adopt AI/ML-enabled capabilities. This role will translate complex business needs into scalable analytics solutions, lead multidisciplinary teams, modernize data and reporting practices, and partner with business, product, data science, engineering, architecture, and governance teams to deliver measurable outcomes.
The position requires solid analytics leadership and practical exposure to predictive analytics, machine learning, Generative AI, natural language processing, and intelligent automation. It is designed for a leader who can identify high-value use cases, define business and data requirements, guide evaluation and adoption, and partner effectively with technical specialists; it is not a hands-on AI platform engineering role.
Primary Responsibilities:
- Analytics strategy and portfolio leadership: Define and execute a multi-year analytics roadmap aligned with business priorities; manage dependencies, risks, and measurable value across reporting, BI, advanced analytics, and AI-enabled initiatives
- Insight delivery: Lead the development, enhancement, validation, and operation of dashboards, scorecards, self-service analytics, predictive insights, and decision-support solutions that are accurate, timely, scalable, and actionable
- Business partnership: Work with senior business, product, operations, technology, and data leaders to translate strategic questions into prioritized analytics use cases, clear measures of success, and sustainable operating solutions
- People leadership: Lead, coach, and develop managers, analytics leads, data analysts, BI professionals, and business analysts; manage capacity, performance, succession, skills development, and delivery commitments
- Analytics modernization: Advance modern BI, cloud data, reusable metric, semantic model, automation, and self-service practices; reduce fragmented reporting and manual effort in partnership with data engineering and architecture teams
- Applied AI/ML enablement: Identify opportunities where predictive analytics, machine learning, Generative AI, NLP, or intelligent automation can improve decisions, experiences, productivity, or operational outcomes
- AI/ML use-case definition: Convert business challenges into well-defined AI/ML use cases with expected value, data needs, evaluation criteria, human oversight, implementation dependencies, and adoption plans
- Cross-functional delivery: Partner with data scientists, AI/ML engineers, architects, product managers, data engineers, and governance teams to develop, validate, operationalize, and monitor AI-enabled analytics solutions
- Evaluation and responsible adoption: Establish business acceptance criteria and support evaluation of analytical and AI outputs for accuracy, relevance, consistency, explainability, traceability, fairness, and operational usefulness
- Governance and controls: Establish standards for data quality, metric definitions, lineage, access, privacy, security, regulatory compliance, responsible AI, and analytics lifecycle management
- Operational excellence: Monitor service levels, delivery performance, solution adoption, model or insight effectiveness, incidents, risks, and realized business benefits; drive continuous improvement and timely issue resolution
- Executive communication: Present complex analytical findings, options, risks, and recommendations in clear, decision-oriented language for senior stakeholders
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Information Systems, Engineering, Business Analytics, or a related field, or equivalent professional experience
- 12+ years of experience in data, analytics, business intelligence, reporting, technology, or related functions
- 5+ years of experience leading analytics, BI, reporting, or data teams, including responsibility for performance, capability development, resource planning, and delivery outcomes
- Demonstrated experience managing an enterprise analytics portfolio and influencing senior business and technology stakeholders
- Solid experience translating complex business needs into analytical solutions, roadmaps, requirements, and measurable outcomes
- Experience with SQL, data analysis, dimensional or semantic data concepts, data visualization, and enterprise reporting
- Experience with BI platforms such as Power BI, Tableau, Cognos, or equivalent technologies
- Experience working with cloud data and analytics platforms such as Snowflake, Databricks, Azure, AWS, or equivalent technologies
- Experience establishing or operating analytics governance, metric governance, data-quality controls, delivery standards, or service-level processes
- Practical exposure to predictive analytics, machine learning, Generative AI, NLP, or AI-enabled business solutions, including defining use cases and partnering with data science or engineering teams
- Demonstrated ability to assess analytical or AI-enabled outputs using business, quality, risk, and adoption criteria
- Proven solid executive communication, strategic planning, people leadership, change management, and cross-functional delivery skills
Preferred Qualifications:
- Master's degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related field
- Experience delivering analytics or AI-enabled solutions in healthcare, pharmacy, operations, financial services, or another regulated industry
- Experience creating validation datasets, test scenarios, answer keys, evaluation criteria, or business acceptance frameworks for analytics or AI solutions
- Experience leading analytics modernization, self-service analytics, or BI-to-AI transformation initiatives
- Experience measuring adoption, productivity improvement, operational impact, financial value, or other benefits from analytics investments
- Experience with Agile delivery and work management platforms such as Azure DevOps or JIRA
- Working familiarity with Python or R for analytics, prototyping, or model evaluation
- Understanding of machine learning concepts, feature development, model evaluation, predictive analytics, and model monitoring
- Exposure to Generative AI, large language models, Retrieval-Augmented Generation, agentic workflows, NLP, or intelligent automation
- Familiarity with MLOps, AI governance, responsible AI, human-in-the-loop controls, and AI risk management
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Skills Required
- Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Information Systems, Engineering, Business Analytics, or a related field, or equivalent professional experience
- 12+ years of experience in data, analytics, business intelligence, reporting, technology, or related functions
- 5+ years of experience leading analytics, BI, reporting, or data teams, including performance, capability development, resource planning, and delivery responsibilities
- Experience managing an enterprise analytics portfolio and influencing senior business and technology stakeholders
- Experience translating complex business needs into analytical solutions, roadmaps, requirements, and measurable outcomes
- Experience with SQL, data analysis, dimensional or semantic data concepts, data visualization, and enterprise reporting
- Experience with BI platforms such as Power BI, Tableau, Cognos, or equivalent technologies
- Experience with cloud data and analytics platforms such as Snowflake, Databricks, Azure, AWS, or equivalent technologies
- Experience establishing or operating analytics governance, metric governance, data-quality controls, delivery standards, or service-level processes
- Practical exposure to predictive analytics, machine learning, Generative AI, NLP, or AI-enabled business solutions, including defining use cases and partnering with data science or engineering teams
- Ability to assess analytical or AI-enabled outputs using business, quality, risk, and adoption criteria
- Executive communication, strategic planning, people leadership, change management, and cross-functional delivery skills
- Master's degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related field
- Experience delivering analytics or AI-enabled solutions in healthcare, pharmacy, operations, financial services, or another regulated industry
- Experience creating validation datasets, test scenarios, answer keys, evaluation criteria, or business acceptance frameworks for analytics or AI solutions
- Experience leading analytics modernization, self-service analytics, or BI-to-AI transformation initiatives
- Experience measuring adoption, productivity improvement, operational impact, financial value, or other benefits from analytics investments
- Experience with Agile delivery and work management platforms such as Azure DevOps or JIRA
- Working familiarity with Python or R for analytics, prototyping, or model evaluation
- Understanding of machine learning concepts, feature development, model evaluation, predictive analytics, and model monitoring
- Exposure to Generative AI, large language models, Retrieval-Augmented Generation, agentic workflows, NLP, or intelligent automation
- Familiarity with MLOps, AI governance, responsible AI, human-in-the-loop controls, and AI risk management
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
