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Manager, Advisory Services; AI Innovation​/Predictive Analytics; Remote

Remote / Online - Candidates ideally in
Maplewood, Ramsey County, Minnesota, USA
Listing for: Optum
Remote/Work from Home position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Manager, Advisory Services (AI Innovation/Predictive Analytics) - Remote

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Manager, Advisory Services (AI Innovation/Predictive Analytics) - Remote (2378781)

Manager, Advisory Services (AI Innovation/Predictive Analytics) - Remote - 2378781

Optum Insightis 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 deepexpertisein 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.

The ideal candidate will excel at identifying data trends and insights and translating this information into analytic deliverables, including trend insights, dashboards, predictive models, AI-enabled solutions, and presentations that convey complex data in a manner that is easy to understand. The candidate should be a recognized AI super user with deep knowledge of emerging capabilities and the ability to think creatively about new use cases applicable to value-based payment, specialized populations, specialist providers, CMS data, pricing, reimbursement, and complex payment needs.

The candidate should also excel at data analysis, predictive modeling, AI solution development, communication, and collaboration, with the ability to share industry best practices for value-based programs and emerging healthcare analytics trends.

You’llenjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary 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…
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