heartbeathealth - Heartbeat Health - Senior Product Manager, Data and Analytics
Requirements
• Bachelors in a relevant field of study; additional experience may be considered in lieu of a degree • 5+ years of experience in product management, analytics, or data-focused roles (healthcare experience a plus) • Proven success shipping data products or analytics in a fast-moving, agile environment • Strong communication and collaboration skills - able to translate technical work for business users, and vice versa • Strong (intermediate+) SQL and analytical skills; comfortable getting into the weeds • Experience gathering requirements, writing problem statements, and creating testable acceptance criteria • A passion for iteratively solving real-world problems, not just building features or finishing “projects” • Experience with relational databases, data pipeline tools, and dashboarding platforms (e.g., Snowflake, Looker, Sigma, Tableau, Power BI) • Experience with Python (pandas) for data analysis • ## What Sets You Apart • You care deeply about the “why” behind every analytics request—always aiming to deliver actionable value, not just data dumps. • You thrive in ambiguity and enjoy collaborating across disciplines, functions, and levels of technical expertise. • You believe product management is about continuous learning, experimentation, and measurable outcomes. • You get energy from both “big picture” thinking and hands-on data work. • ## How We Work: • Our core development team is small and intentionally lean. Every team member has outsized impact on how the platform grows. • We value solutions that are understandable, maintainable, and right-sized. We ship small, testable increments and adjust based on what we learn. Our process is Kanban-style flow — not rigid sprints or bloated backlogs. We invest in tooling and observability so we can understand what's happening in production and move quickly with confidence. • We avoid silos. Engineers collaborate directly with product, clinical, and compliance stakeholders through shared ownership, not handoffs. The best outcomes come from close, cross-functional work - not heavyweight processes or long ticket queues. • This is a remote-first, high-autonomy environment. You need to be comfortable working independently, collaborating asynchronously, and shipping incrementally.
Responsibilities
• Champion Iterative Value: Work closely with data engineers and stakeholders to prioritize, scope, and deliver impactful data and analytics deliverables using agile, outcome-oriented methods. • Lead Discovery: Regularly engage with a diverse group of stakeholders (internal and external) to surface, clarify, and prioritize their data needs. • Craft Requirements: Translate business questions and stakeholder needs into clear, actionable requirements and well-defined deliverables (analytics, metrics, dashboards, pipelines). • Drive Execution: Collaborate with data and engineering teams to develop, launch, and refine analytics deliverables in short, learn-and-adapt cycles. • Deliver Results: Manage competing priorities, set expectations, communicate status, and iterate quickly based on feedback and evolving needs. • Measure Impact: Devise, research, and define the metrics and formulae that help Heartbeat and its partners measure success - clinical, operational, financial, and beyond. • Hands-On Contribution: Roll up your sleeves with SQL to shape dashboards, debug data pipelines, and ensure analytic quality. • Monitor & Respond: Help monitor critical data pipelines, respond quickly to disruptions, and ensure data quality, reliability, and trust.
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