Position Expired
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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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