Senior Technical Product Manager

Role overview Own product strategy and delivery for healthcare software spanning clinical programs, operations, care coordination, and member experiences. You will turn complex workflows and business priorities into scalable technical products, including practical AI-enabled capabilities that reduce administrative effort and help care teams make decisions. The role works across business, engineering, data science, and data teams, and includes mentoring other product managers.

Responsibilities - Set product strategy and multi-year roadmaps for key platform areas, aligning clinical, member experience, finance, quality, and risk priorities. - Identify and prioritize opportunities with business and optimization teams, using product analytics and portfolio assessments to guide decisions. - Lead requirements and roadmap execution for operational, clinical, and care coordination products. - Translate ambiguous needs into clear features, user stories, and acceptance criteria for engineering and data partners. - Assess AI-enabled automation opportunities and vendor or partner options, including integration and operational implications. - Mentor product managers and improve product practices, collaboration, and execution quality.

Requirements - Seven or more years of healthcare product management experience, including successful leadership of large-scale products. - Experience with agile delivery, quantitative product analytics, and ongoing product optimization. - Knowledge across multiple health domains, such as clinical operations, care coordination, claims, plan operations, consumer health, quality ratings, or risk adjustment. - Technical depth in data platforms, API-driven products, solution architecture, and enterprise systems. - Ability to lead through ambiguity, influence across a matrixed organization, and communicate strategy and decision frameworks to executives. - Bachelor’s degree in information systems, computer science, business, healthcare administration, or a related field; four additional years of experience may substitute.

Nice to have - Experience designing or scaling enterprise AI/ML products, establishing product practices such as OKRs and roadmap governance, or applying Lean or Six Sigma methods. - MBA or another advanced degree.