Clinical Data Product Manager

Summary

Trella Health is an AI-powered intelligence and workflow platform focused on transforming healthcare data into actionable insights. The Clinical Data Product Manager will own the product strategy and execution for a clinical data domain, collaborating with cross-functional teams to enhance decision-making and improve patient outcomes across the healthcare continuum.

Responsibilities

• Own product strategy, roadmap, and execution for a clinical data domain spanning the full care continuum
• Lead end-to-end product development, from discovery through delivery, across cross-functional teams including data science, data engineering, and software engineering
• Translate clinical and claims data into actionable analytics, including transitions of care analysis, patient outcomes, performance benchmarking, referral patterns, cost, and network leakage
• Identify and integrate AI/ML-driven capabilities (e.g., predictive analytics, risk stratification, anomaly detection) to enhance clinical insights and drive smarter decision-making for value-based care and post-acute providers
• Build and ship AI-powered product features, from concept through adoption, including generative AI, predictive models, and intelligent automation embedded directly into clinical and operational workflows for users
• Use AI tools daily across the full product lifecycle, including discovery, prototyping, requirements definition, stakeholder communication, and GTM enablement
• Drive measurable business outcomes including ARR growth, customer retention, and NPS, ensuring product investments deliver impact
• Own the clinical narrative around care transitions, including discharge planning, referral patterns, and cross-setting patient flow, translating those workflows into product requirements
• Independently prioritize and manage the product backlog, balancing clinical user needs, business value, and technical investment
• Collaborate with GTM teams (Sales, Marketing, Customer Success) to support positioning, enablement, and successful product launches
• Conduct market and competitive analysis to inform product direction and identify opportunities for clinical and AI-driven innovation
• Champion a product-led mindset, driving clarity, accountability, and continuous improvement across teams

Skills

• 4+ years of product management experience in B2B SaaS, with direct ownership of roadmap and product outcomes
• Hands-on experience with clinical data sets across care settings (e.g., MDS, OASIS, ADT feeds, claims, EHR data)
• Strong understanding of transitions of care, including how patients move across acute, post-acute, and community settings, and the data and workflows that support those handoffs
• Deep familiarity with post-acute care workflows and performance metrics (e.g., SNFs, home health, hospice, referrals, readmissions, LOS)
• Experience with or exposure to value-based care models (e.g., ACOs, bundled payments, network optimization)
• Strong experience in healthcare analytics, with a preference for post-acute and/or value-based care domains
• Proven ability to drive KPIs including retention, NPS, and revenue growth
• Experience building or managing data products and analytics/visualization tools
• Strong analytical and problem-solving skills, with comfort working closely with data science and engineering teams
• Demonstrated ability to lead cross-functional teams and influence stakeholders including executive leadership
• Experience in Agile environments and familiarity with tools like Jira, Aha!
• A customer-first mindset with a passion for solving complex healthcare problems and improving patient outcomes
• Strong understanding of CMS reimbursement and VBC models
• Genuine enthusiasm for AI and a track record of using AI tools to do better, faster work
• Clinician or prior clinical role with direct patient care experience across settings

Qualifications

Must Haves

• 4+ years of product management experience in B2B SaaS, with direct ownership of roadmap and product outcomes
• Hands-on experience with clinical data sets across care settings (e.g., MDS, OASIS, ADT feeds, claims, EHR data)
• Strong understanding of transitions of care, including how patients move across acute, post-acute, and community settings, and the data and workflows that support those handoffs
• Deep familiarity with post-acute care workflows and performance metrics (e.g., SNFs, home health, hospice, referrals, readmissions, LOS)
• Experience with or exposure to value-based care models (e.g., ACOs, bundled payments, network optimization)
• Strong experience in healthcare analytics, with a preference for post-acute and/or value-based care domains
• Proven ability to drive KPIs including retention, NPS, and revenue growth
• Experience building or managing data products and analytics/visualization tools
• Strong analytical and problem-solving skills, with comfort working closely with data science and engineering teams
• Demonstrated ability to lead cross-functional teams and influence stakeholders including executive leadership
• Experience in Agile environments and familiarity with tools like Jira, Aha!
• A customer-first mindset with a passion for solving complex healthcare problems and improving patient outcomes
• Strong understanding of CMS reimbursement and VBC models
• Genuine enthusiasm for AI and a track record of using AI tools to do better, faster work
• Clinician or prior clinical role with direct patient care experience across settings

Benefits

• Health, dental, vision, and voluntary benefits
• Competitive salary, incentive compensation, and equity shares
• 401(k) retirement savings
• Flexible PTO and 10 paid holidays
• Flexible work hours
• Paid leave programs
• Marketplace for discounted retail and entertainment