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, Tech Product Management to lead strategy and execution for a portfolio of data, analytics, and AI-enabled products that improve payer outcomes - e.g., cost, quality, utilization, risk adjustment, care management, provider performance, claims integrity, and member experience. This leader will own key product areas and drive roadmap delivery in close partnership with Data Science, Engineering, Design, Clinical/Operations, Compliance, and Go-to-Market teams.
This role spans the full product lifecycle - from discovery and product strategy through delivery and iteration - using market/customer insights and measurable outcomes to guide prioritization and improve product performance.
Primary Responsibilities:
- Product Strategy & Roadmap Ownership
- Define and communicate product vision, strategy, and multi-quarter roadmap aligned to payer business priorities and customer needs
- Translate strategic objectives into actionable initiatives, release plans, and clearly defined outcomes/KPIs
- Identify opportunities using market research, competitive insights, and stakeholder discovery incorporate regulatory and operational constraints typical to payer environments
- End-to-End Product Lifecycle Leadership
- Own product lifecycle activities: discovery, requirements definition, backlog prioritization, delivery, launch readiness, and post-launch optimization
- Write high-quality PRDs/user stories and acceptance criteria guide solution tradeoffs with engineering and data science partners (value, feasibility, risk)
- Partner with cross-functional teams to ensure high-quality, on-time delivery and continuous iteration based on real-world performance
- Data & AI Product Leadership (Payer Context)
- Shape AI/analytics capabilities that improve payer workflows (e.g., forecasting, risk stratification, care gap closure, claims/payment integrity, provider network optimization). (Suggested tailoring for payer analytics scope keep/remove based on your portfolio.)
- Collaborate with data science teams on experimentation, model/product validation, monitoring, and value realization define product telemetry and success metrics
- Ensure product decisions are data-driven and measurable monitor usage and client outcomes to inform prioritization
- Stakeholder & Customer Leadership
- Act as the voice of the user (internal operators, clinicians/care teams, providers, members, employer groups-depending on product)
- Lead executive and stakeholder communication on roadmap, tradeoffs, risks, and outcomes drive alignment across business and technical teams
- Team Leadership & Product Management Excellence
- Lead, mentor, and develop product managers and/or product owners establish strong product practices and operating rhythms
- Promote disciplined execution (Agile ceremonies, backlog hygiene, release readiness), and transparent reporting using modern product tools
- Compliance, Privacy & Responsible Use
- 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
Required Qualifications:
- 10+ years of product management experience (enterprise, SaaS, platform, analytics, or digital products)
- 3+ years in a people leadership role (leading PMs/POs or cross-functional product pods)
- Experience partnering closely with engineering and data science teams strong ability to translate between business goals and technical execution
- Demonstrated solid analytical, communication, and stakeholder management skills comfortable influencing at executive levels
- Demonstrated success owning roadmaps and delivering products end-to-end with measurable business impact
Preferred Qualifications:
- Bachelor's degree required advanced degree (MBA/MS) a plus (product, analytics, health informatics, or related)
- Experience building AI-enabled products: experimentation, model performance monitoring, iteration, and responsible AI practices
- Experience in healthcare payer domain (claims, enrollment, benefits, provider networks, care management, payment policy, risk adjustment, quality measures)
- Familiarity with healthcare data and interoperability standards (e.g., FHIR/HL7/X12) and payer regulatory considerations (e.g., HIPAA-related requirements)
Core Competencies
- Product strategy, roadmap planning, and prioritization
- Customer discovery and problem framing
- Outcome-based execution (OKRs/KPIs, telemetry, adoption, ROI)
- Cross-functional leadership (Engineering, Data Science, UX, Clinical/Ops)
- Clear written artifacts (PRDs, user stories, acceptance criteria)
- Executive communication, decision framing, and tradeoff management
