Senior Director of Product Management – Data

Medisolv, Inc.

Job Description

  • Build New Data Businesses
  • Identify unmet customer and market data needs beyond quality measure compliance (benchmarking, predictive, operational, financial performance).
  • Design and validate new monetization models: subscription data feeds, benchmarking indices, predictive insights, or performance dashboards.
  • Build prototypes and test directly with customers and partners (hospital, ACO, payer, life sciences).
  • Create pricing and business cases for each data offering — ARR potential, margin, scalability, and risk.
  • Partner with CFO and company/product strategy to tie each product to enterprise valuation levers.
  • Establish clear KPIs for adoption, retention, and incremental ARR contribution.
  • Conduct Jobs-to-Be-Done interviews and “wonder” sprints with Quality and Finance leaders to validate usefulness and willingness to pay.
  • Translate insights into technical requirements for Data Engineering and Legal teams.
  • Lead customer pilots with advisory partners to prove real-world value.
  • Collaborate with Product Marketing to define positioning, pricing, and launch assets for validated data products.
  • Drive initial sales enablement and customer case studies with early adopters.
  • Lead the articulation of Medisolv’s “data flywheel” — how our datasets create compounding advantage.

Requirements

  • Bachelor's degree in Business, Engineering, Marketing or related field (or equivalent experience).
  • 10+ years of experience in Product management, Product Marketing, Sales, or Marketing at healthcare SaaS/technology, product-driven companies.
  • Commercially-minded – fluent in pricing models and investor metrics.
  • Practical and customer-centric – grounded in real business problems facing quality and financial leaders in our target markets.
  • Technical and healthcare data fluency – strong understanding of clinical data, interoperability standards, APIs, FHIR data model and transport, data pipelines and de-identification methods.
  • Strategic translator – is effectively creating clarity from ambiguity, specifically connecting data science to business models.
  • Lean operator – runs fast with structured experiments and clear metrics.
  • Executive presence with excellent presentation, written, verbal skills.

Benefits

  • Health insurance
  • Professional development
  • Flexible work arrangements

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