Senior Product Manager

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.

Define and drive the roadmap of AI-powered products by translating customer needs and market opportunities into scalable, technically feasible solutions, while aligning closely with engineering and research teams.

This Role Is Well-suited For

• Experienced Product Managers with analytical depth, or
• Data scientists / healthcare AI experts looking to transition into product management
  
  

• Identify and evaluate AI/ML opportunities in US healthcare by combining market insight with hands-on data exploration
• Write and execute SQL and Python queries/scripts to analyze datasets and validate hypotheses
• Partner with data science teams to prototype, test, and refine models before production
• Define and own product vision, roadmap, and success metrics
• Collaborate with engineering, clinical, and business teams to deliver high-quality, compliant AI products
• Ensure responsible AI practices and alignment with healthcare regulatory standards
• Translate complex technical details into clear business value propositions
• Designing AI solution
• Notion, Jira, Figma (for wireframes), Power BI, LangChain (for prototyping)
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  
  

• Hands-on experience in data science / AI/ML projects (model development, validation, or deployment)
• Roadmap Planning: Experience in building and managing product roadmaps, especially for AI/ML-driven features
• Solid understanding of US healthcare data (claims, clinical, EHR)
• LLM Architecture & RAG Systems: Understanding of Retrieval-Augmented Generation (RAG) pipelines, embeddings (Azure AI Search, Databricks), and semantic search
• Ethical AI & Governance Awareness: Understanding of responsible AI principles, data privacy, and model transparency
• Agentic AI & Orchestration: Familiarity with autonomous agents and orchestration frameworks like LangGraph, Microsoft Copilot Studio, and CrewAI
• Proficiency in SQL and Python (mandatory)
• Proven AI fluency (LLMs, ML lifecycle, GenAI capabilities)
• #exetech
• Proven product strategy, customer empathy, agile delivery
  
  

• Proven competitive analysis and market research
• Product Strategy & Vision: Proven ability to define and communicate a clear product vision aligned with business goals and AI capabilities
• Stakeholder Collaboration: Proven solid cross-functional collaboration with engineering, data science, design, and business teams
• Translating AI Capabilities into Business Value: Proven ability to convert complex AI concepts into tangible product features that solve real user problems
• Demonstrated ability to work cross-functionally with data science, engineering, and clinical stakeholders
• Proven excellent communication and problem-solving skills
  
  

• Experience as a Product Manager or in a product-adjacent role (Business Analyst, Data Scientist with product exposure, Clinical Data Lead)
• Knowledge of healthcare regulations (HIPAA, CMS, NCQA, ONC, etc.) and responsible AI governance
  
  

• Lead AI innovation in healthcare, shaping products that impact outcomes and efficiency at scale
• Work with cross-functional experts at the intersection of healthcare, data, and technology
• Build a career where technical expertise and product leadership intersect