Senior Manager, Technical Product Management

Requisition Number: 2388562
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.
We are seeking a Senior Manager, Technical Product Management to lead and scale a portfolio of AI-enabled products across our technology portfolio. This role sits at the intersection of business strategy, customer experience, data, and engineering, and is critical to translating customer and market insights into high impact, scalable products.
You will own product strategy and outcomes for a set of AI products, and you will directly manage and grow a team of product managers who own the rest. The ideal candidate is a trusted product leader who can drive product strategy and execution, influence across business and technology teams, and build strong product talent while operating effectively in a regulated healthcare environment.
Primary Responsibilities:

• People Leadership & Talent Development
  • Directly manage, coach, and develop a team of technical product managers set goals, run performance and development conversations, and build clear growth paths
  • Assign product ownership across the team, balance workload, and hold the team accountable to outcomes rather than output
  • Provide situational coaching and positively influence product outcomes through mentorship and collaboration
  • Actively attract, assess, and hire top product talent using a calibrated bar for excellence; contribute to hiring decisions and leverage professional networks to identify qualified candidates
  • Train and mentor junior interviewers through shadowing and best practice guidance
  • Foster a culture of transparency, growth mindset, and continuous learning
• AI Product Ownership
  • Own the strategy, roadmap, and delivery for a portfolio of AI and ML-enabled products from use case selection through production, adoption, and measured business value
  • Drive the full AI product lifecycle: data readiness, model or prompt iteration, evaluation and quality benchmarks, human-in-the-loop design, release, monitoring, and drift management
  • Define success measures specific to AI accuracy and quality thresholds, latency, cost per outcome, containment or deflection rates, and user trust
  • Partner with data science, ML engineering, and platform teams to translate AI capability into product capability, and make clear build vs. buy vs. adopt-the-platform calls
  • Ensure responsible use of AI: partner with governance, privacy, and compliance teams on model risk review, PHI/PII handling, auditability, and explainability before anything ships
• Product Strategy & Customer Value
  • Partner with product managers, business stakeholders, and customers to capture Voice of Customer and translate insights into product capabilities and jobs to be done
  • Drive product strategy through clear articulation of vision, value proposition, and strategic and feature roadmaps
  • Create and communicate compelling value propositions through internal marketing and stakeholder communications
  • Ensure all features and initiatives are clearly tied to OKRs and business outcomes
  • Manage complex requirements and continuously refine products based on evolving business goals, market needs, and customer feedback
• Product Execution & Delivery
  • Oversee prioritization and trade off decisions, balancing customer experience, business requirements, technical constraints, performance, and operational needs
  • Decompose high level capabilities into features, epics, and user stories that are clear, actionable, and measurable
  • Partner closely with engineering teams to define requirements, user stories, and acceptance criteria
  • Support product backlog management and prioritization across scrum and feature teams
  • Drive feature level budgets and ensure efficient use of resources
  • Support integration testing, automation practices, and DevOps aligned delivery models
• Technical & Domain Expertise
  • Maintain a strong understanding of end to end solutions, including system integrations and data flows
  • Understand feature impacts and dependencies across platforms and portfolios
  • Actively advance understanding of the product operating model and product culture across teams
  • Demonstrate working knowledge of modern product and delivery tools such as Aha, Rally, GitHub, and DevOps practices
  • Effectively balance the needs of operations, data, and engineering teams
• Stakeholder Leadership & Influence
  • Serve as a credible and trusted partner to senior business and technology leaders
  • Speak fluently to both technical and non technical audiences across teams and levels
  • Lead complex, cross functional discussions and drive alignment through fact based, customer centric decision making
  • Diffuse conflict and drive consensus by focusing on the greater good of the product and customer needs
  • Anticipate stakeholder needs by preparing options, trade offs, and recommendations in advance
• 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

Required Qualifications:

• 8+ years of experience in Product Management, with significant experience in technical or platform products
• 3+ years of direct people management experience, including hiring, performance management, and career development of product managers
• 2+ years of experience supporting a healthcare payer environment
• Experience as a Product Manager supporting Data Science, software applications, and/or AI projects
• Experience delivering at least one AI or ML-enabled product into production, including evaluation and quality measurement
• Solid experience working with engineering, data, and architecture teams
• Experience with Agile delivery models and product management tooling (Aha, Rally, GitHub, etc.)
• Demonstrated ability to manage complex product portfolios and cross team dependencies
• Proven success driving product strategy, roadmaps, and execution at scale

Preferred Qualifications:

• Experience in US Healthcare Payer domain (claims, eligibility, care management, provider data, analytics, etc.)
• Experience scaling product organizations or leading through transformation
• Experience establishing responsible AI or model governance practices
• Hands-on familiarity with GenAI delivery patterns: RAG and grounding, agent frameworks, prompt and model evaluation, guardrails, and inference cost management
• Exposure to data platforms, analytics products, or AI/ML enabled solutions at scale
• Familiarity with cloud platforms such as Azure or AWS and modern data platforms
• Familiarity with regulated environments and compliance driven product delivery

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.