Senior Technical Product Manager
Optum India
As a Senior Technical Product Manager for AI Products & Solutions, you'll set the vision and roadmap for AI-powered products and run delivery for them. These include generative AI copilots, agentic digital workers and intelligent automation used across healthcare operations such as claims, prior authorization, member, provider operations and care administration. You'll work with engineering, data science, architecture and business leaders to turn complex problems into AI solutions that are safe, scalable and measurable.
Primary Responsibilities
- Product vision and strategy: Set and own the vision, strategy and multi-quarter roadmap for AI/GenAI products, tied to business goals and enterprise AI priorities
- Problem discovery: Work with business stakeholders to find high-value AI use cases, assess whether they're feasible, and build business cases with clear ROI, savings and capacity metrics
- Backlog ownership: Turn strategy into epics, features and user stories with clear acceptance criteria. Prioritize the backlog by value, risk and dependencies
- AI solution design: Work with data scientists, ML/LLM engineers and architects on model selection, prompt and agent design, retrieval-augmented generation (RAG), evaluation frameworks and human-in-the-loop workflows
- Delivery leadership: Lead agile delivery across scrum teams from idea through POC, pilot, UAT and production, including release planning and go-live readiness
- AI and compliance: Make sure solutions meet
- AI principles, privacy rules (HIPAA, PHI/PII), security and model governance, including bias, explainability and auditability
- Measurement: Define and track product KPIs such as adoption, accuracy, automation rate, cycle-time reduction, cost savings and FTE capacity. Use the data to improve the product
- Stakeholder management: Present status, risks and outcomes to executive leadership. Build alignment across technology, operations and business teams
- Adoption and change management: Drive enablement through demos, office hours, documentation, FAQs and feedback loops
- Market awareness: Keep up with trends in GenAI, agentic AI, LLMOps and AI platforms, and bring in new ideas and reusable patterns
- 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
- Bachelor's degree in Engineering, Computer Science or a related field (or equivalent experience)
- 10+ years in technology, including 5+ years in product management or technical product ownership
- Experience managing AI/ML, GenAI or intelligent automation products from concept to production
- Hands-on experience with Agile/Scrum/SAFe and tools such as Jira, Azure DevOps, Rally or Aha!
- Proven experience building business cases and reporting outcomes to senior leadership
- Solid understanding of LLMs, prompt engineering, RAG, AI agents, model evaluation and MLOps/LLMOps concepts
- Proven ability to translate business needs into technical requirements and to work credibly with engineers and data scientists
- Proven excellent written and verbal communication, storytelling and stakeholder management skills
- Preferred Qualifications:
- Master's degree or MBA
- Certifications such as CSPO, SAFe POPM, PMP or AI/ML certifications
- Experience in US healthcare (payer, provider or PBM), such as claims, utilization management, prior authorization or provider data
- Experience leading distributed, global teams
- Strategic thinking
- Customer focus
- Data-driven decisions
- Technical depth in AI
- Executive communication
- Collaboration
- Comfort with ambiguity
- Responsible innovation