Senior Product Manager (Data)

Key Responsibilities: * Own the core data platform end-to-end: ingestion, pipelines, storage, and the analytics/reporting substrate every other product line builds on. * Partner with engineering and data teams to turn raw operational and clinical data into a reliable, scalable foundation other SPMs and teams can build on top of. * Define and own the metrics that describe platform health and value: data quality, latency, coverage, downstream adoption. * Operate with a bias for action in ambiguous, often spec-less territory — a lot of what you build has no customer directly asking for it. * Bring structured, analytical thinking to trade-offs between build velocity, data quality, and long-term scalability. * Represent downstream consumers (product, DL, QA, CS) internally — build for how the platform will actually be used, not just what's architecturally clean. * Drive build decisions with a clear ROI lens — size the cost/impact of a platform investment before committing, and track whether the bet paid off. Requirements: * 6+ years in product management, ideally with hands-on experience in data engineering, analytics, or analytics engineering before moving into PM. * Proven track record of building or owning a significant component of a data platform - pipelines, ingestion, warehousing; not just consuming one. * Strong analytical skills, ability to break down complex, multi-variable problems into structured, logical solutions. * Deep understanding of prioritization, trade-offs, and stakeholder management in fast-paced environments. * Bias for action - moves on incomplete information rather than waiting for a clean spec. * Excellent cross-functional communication. Nice to have : * Experience at a company where the data platform was actively being built/scaled, not inherited mature. * Prior background as a data engineer, analyst, or analytics engineer. * Experience in AI-driven or data-centric product companies. * Exposure to healthcare or other high-stakes/regulated data environments.