Job Description

What you'll do

Product Strategy & Vision (~40%)

Own the product vision and multi-horizon roadmap for AI-powered claims decision-support and auto adjudication platform, identifying, shaping and prioritizing capabilities

Translate complex, nuanced claims policies and business operational workflows into a clear, prioritized technology product strategy across Aetna’s commercial and government lines of businesses

Ensure user-centric design and anchor the product strategy and scope to maximize impact and support future scaling

Make confident, well-reasoned product decisions amid ambiguity, driving momentum and impact without waiting for perfect information

Frame investment decisions and tradeoffs for senior executives in terms of measurable outcomes

Cross-functional leadership & operating model (~30%)

Serve as the primary product voice across a highly matrixed enterprise, partnering with business, enterprise technology, data science and engineering, and program leadership.

Shape how a fast-scaling product organization operates — clarifying roles, decision-making, and ways of working across product life cycle activities.

Build durable, scalable partnerships with business and subject-matter experts to ensure alignment of vision

Shape business case and supporting budgeting, investment committee review, and finance reporting processes

Anticipate and resolve adjacent portfolio dependencies and competing priorities, keeping the broader effort aligned and moving.

Be primary point of engagement for senior business stakeholders and tailor communication by audience and goals, whether aligning product strategy, driving commercial decisions, or unblocking delivery and anticipating misalignment before it surfaces

Impact delivery (~30%)

Lead delivery across the portfolio including roadmap, prioritization, milestone, and impact accountability, through a team of product managers, setting clear direction and growing the team while stepping in to perform hands-on product responsibilities when needed

Identify and resolve cross-squad and cross functional interdependencies and prioritization trade-offs

Responsible for setting, measuring, and leading the team to accomplish product adoption, user change management and business impact goals

Engage credibly in technical discussions, ensuring solution feasibility and traceability to business and customer requirements

Partner closely with engineering and data science on the product’s intelligence engine, data foundations, validation and testing systems, coordinating resolution with broader Enterprise partners

What we require

Required Qualifications

10+ years in Product Management, with clear progression to Senior / Director-level scope and a track record of owning products end-to-end.

5+ years of experience turning complex, ambiguous policy or business rules into reliable product logic in partnership with subject-matter experts.

5+ years leading through influence in complex, matrixed organizations, creating clarity and momentum amid ambiguity.

3+ years’ hands-on experience building AI or other advanced-analytics powered workflow-automation products in real operational environments, including human-in-the-loop systems where accuracy and trust matter.

3+ years of experience with healthcare claims, adjudication systems, or other complex, policy-driven operational workflows.

3+ years demonstrating skills as a first-principles thinker who can get to the root of hard problems and translate them into a clear strategy executives can act on.

3+ years of exceptional executive communication — able to distill complex tradeoffs into crisp, compelling narratives for VP+ audiences.

Preferred Qualifications

Familiarity with claims adjudication systems and business rules engines.

Demonstrated ability to design and evolve how a product organization operates.

Fluency with the latest ML and agentic approaches, with a clear point of view on where human oversight belongs, guardrails and evaluation strategy.

Change-management and adoption-strategy experience for enterprise tools and software.

Education

Bachelor's degree required, preferably in a quantitative, analytical, or technical field (e.g., Data Science, Statistics, Computer Science, Health Informatics, Economics, or related discipline).

MBA or advanced degree preferred.