Senior Product Manager, Data and Analytics

What You’ll Do

• 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.

What You’ll Bring

• 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.

About Our Culture:

• We are mission-driven: we're revolutionizing the way cardiovascular care is delivered 

• We are fast-paced & agile: we move quickly, iterate often, and value experimentation

• We are remote-first: flexibility, autonomy, and trust are at the core of how we operate
• We care about diversity: diversity allows us to build an excellent patient experience

• We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status