Note: The job is a remote job and is open to candidates in USA. Optum Insight helps improve the flow of health data and information to create a more connected healthcare system. The Manager of Advisory Services will lead the integration and adoption of artificial intelligence across the Advisory practice, including AI strategy, responsible AI governance, predictive analytics, and emerging technology initiatives. The role will develop scalable client solutions, lead AI-enabled analytics and model deployment, translate complex insights for stakeholders, and drive team training and change management.
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
Skills
- 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
- 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
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- The flexibility to work remotely from anywhere within the U.S.
- Development for other roles you may be interested in
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