Manager, Advisory Services (AI Innovation/Predictive Analytics) - Remote

UnitedHealth Group•Eden Prairie, MN

3d•$112,700 - $193,200•Remote

About The Position

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. No industry is moving faster than health care. Optum Insight is an innovative organization that is uniquely positioned to lead health care forward. Our team provides advanced analytic services that drive results across established and emerging data trends, including AI-enabled solutions, predictive analytic models, and scalable analytics capabilities. We are seeking an innovative, service-oriented Manager of Analytics Services to lead our full integration of artificial intelligence into the Advisory practice — driving the next leap forward in predictive analytics, automation, and emerging technology within the healthcare value-based analytics domain, with a focus on developing practical, scalable, and market-relevant solutions.

Requirements

5+ years of professional experience in data science, computer science, statistics, artificial intelligence, analytics, health economics, health administration, and/or another related quantitative or healthcare discipline, with demonstrated ability to apply quantitative methods to complex business problems
5+ years of experience developing and deploying advanced analytics, predictive modeling, or machine learning solutions in a consulting or business environment (Python, SQL, R, or similar)
3+ years of experience designing, building, or deploying AI-enabled solutions (e.g., generative AI, machine learning, or related technologies) using analytical tools
3+ years of experience in deploying and operationalizing AI solutions on Databricks/Snowflake hosted on the Azure cloud platform at enterprise scale.
3+ years of experience working in large data warehouse environments, with a proven ability to analyze large data sets to identify trends, develop models, and generate actionable insights
3+ years of experience identifying and aligning data into a common structure to create analytic models, model-ready data sets, reusable data assets, and scalable reporting or analytic capabilities
3+ years of experience developing, evaluating, and monitoring predictive analytic models, including feature engineering, model validation, performance measurement, and translation of model outputs into operational recommendations
3+ years of experience supporting AI solution development, including requirements definition, data readiness assessment, model governance, responsible AI considerations, user adoption, and ongoing solution performance monitoring
2+ years of experience with responsible AI, AI governance, or model risk management frameworks
2+ years of experience working in Snowflake, Databricks, Azure, or similar cloud-based AI/ML and analytics environments
5+ years of experience translating complex analytic results into meaningful insight, with excellent verbal and written communication skills for both technical and executive audiences
3+ years of experience producing and managing ongoing delivery of business intelligence, analytics, and AI-enabled capabilities to external stakeholders and clients

Nice To Haves

Certification(s) in cloud-based AI/ML platforms (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty) or equivalent
3+ years of experience leveraging healthcare data models across multiple data types, including member, claim, provider, quality, reimbursement, or pricing data
2+ years of experience applying analytics, predictive modeling, machine learning, or AI technologies to value-based payment, alternative payment models, provider reimbursement, risk adjustment, quality improvement, population health, specialty care, or specialized population initiatives
2+ years of experience developing analytic solutions that leverage CMS, Medicare, Medicaid, commercial claims, provider, quality, reimbursement, pricing, or other healthcare data sources
2+ years of experience leading innovation initiatives, proof-of-concepts, pilots, or rapid prototyping efforts that resulted in measurable business, operational, or client impact; developing and implementing effective/strategic solutions through research and analysis of data and business processes
1+ years of experience evaluating or applying generative AI, large language models, retrieval-augmented generation, or AI agents within healthcare, consulting, analytics, or operational environments
1+ years of experience with Agile Methodology and Delivery
Familiarity with CMS innovation models, payment reform initiatives, healthcare economics, provider payment methodologies, specialty care management, alternative payment models, and value-based care strategies
Demonstrated experience building or contributing to an AI center of excellence, enterprise AI roadmap, or organization-wide AI adoption/upskilling strategy

Responsibilities

Serve as an AI champion and innovation lead for the Advisory practice, defining and driving a practice-wide AI adoption roadmap/strategy in partnership with practice leadership to prioritize investments and measure ROI
Lead the integration of AI across analytics service delivery — identifying opportunities to apply emerging technologies to healthcare payment, value-based care, specialty provider, specialized population, and complex reimbursement challenges
Lead AI development initiatives from concept through deployment, including use case definition, data readiness assessment, data preparation, model development, testing, responsible AI and governance alignment, performance monitoring, and stakeholder adoption
Lead Responsible AI (RAI) review processes, including experience working with AI Review Boards (AIRB) to assess and document AI use case risk, ensure ethical and compliant model development, and obtain governance approvals prior to production deployment
Identify emerging AI technologies, analytic methodologies, and healthcare market trends that can be leveraged to create innovative client solutions, reusable analytic assets, and new advisory offerings
Evaluate and prototype new applications of generative AI, large language models, retrieval-augmented generation, agentic AI, machine learning, and predictive analytics within value-based care and payment innovation programs
Design, develop, validate, and implement predictive analytic models that identify emerging trends, risk patterns, performance opportunities, provider variation, specialized population needs, and actionable interventions across healthcare populations and value-based programs
Collaborate with clinical, actuarial, health economics, operational, technology, and consulting subject matter experts to develop AI-enabled solutions addressing complex healthcare payment, quality, affordability, and provider performance challenges
Translate emerging AI capabilities into scalable analytics products, reusable assets, and client-facing solutions that support growth, market differentiation, and operational adoption
Identify and deliver business insights through AI-enabled analytics, machine learning applications, predictive analytic solutions, dashboards, and presentations that support current operations and forward-looking decision-making
Translate complex data concepts and model outputs into insights understood by a variety of audiences, including senior-level health plan stakeholders and client executives
Drive team’s AI upskilling, training, and change management to build AI fluency across the broader Advisory team and accelerate enterprise-wide adoption
Drive team's adoption of best practices for data analytic techniques, model governance, documentation, performance monitoring, and maintenance of AI/ML models and related automated solutions