Lead Product Manager, Data Products

• US. Remote (New York a plus)
• $205,000 to $245,000 base + Bonus + Equity
• Scaled Health Tech Company
• Must be based in the US with full working authorization

• Set the strategy and sequenced roadmap for customer-facing analytics and new 0-to-1 data products: what to build, defer or decline
• Make the case to the exec team and board with a clear thesis, not a feature list
• Own the north-star metric, leading indicators and the criteria for continuing or stopping a bet
• Use customer discovery, market sizing and pilots to validate opportunities and prove demand

• Lead delivery end to end, from customer needs to clear requirements, release slices, launch and iteration
• Build shared reporting and self-service analytics with consistent metrics, delivered through dashboards, APIs, feeds or datasets
• Make trade-offs with engineering on data freshness, quality, access and build vs. buy

• Partner with Sales, Partnerships, Marketing and Finance on packaging, pricing, positioning and go-to-market
• Treat privacy and compliance as core design constraints, working with Legal, Compliance and Security on HIPAA, de-identification, data-use agreements and customer terms

• A 0-to-1 data product builder. You've taken a product from an established dataset to commercial launch, and you can explain the thesis, the bets you made and the revenue that resulted.
• Experienced in health or regulated data. You've worked with healthcare, life sciences or other regulated-industry data, and you know your way around HIPAA, de-identification and data-use agreements (or can show you get up to speed fast).
• Commercially sharp. You build the market model yourself, know which assumptions drive the outcome and don't confuse a large addressable market with proven demand.
• Technically fluent. You can read a schema and work credibly with data engineers on quality, definitions and access controls, without needing to be an engineer yourself.
• Close to the customer. You run discovery and pilots directly with customers and can hold your own with a buyer's procurement team.
• A strong communicator. You lead through influence and are as comfortable with engineers as you are presenting to the exec team and board.
• AI-forward. You use AI tools in your day-to-day work, from analysis to prototyping.
• Mission-driven. You care about improving patient outcomes and see a data business as a meaningful way to do it.

• Experience at a real-world evidence, health data or life sciences data company
• Data partnerships, joint datasets or brokered data arrangements
• Experience as the first product hire on a new revenue line
• Startup or high-growth company experience

• Build a data business from the ground up, with real ownership of strategy, pricing and the first products to market
• Work with one of the richest proprietary datasets in post-acute care
• Join a company that already operates at national scale, so the bet is on the product, not on survival
• Get direct exposure to the executive team and board from day one
• Work remotely (or hybrid in NYC if preferred), with a clear mission to help patients get care at home