Head of Data Science

Key Responsibilities

• Lead, manage, and develop a high-performing Data Science team, including coaching, performance management, career development, hiring, leveling, and team operations.
• Set the Data Science strategy and roadmap across Function’s consumer business, spanning acquisition, activation, engagement, retention, member health outcomes, marketing, finance, operations, and product experience.
• Partner with Product, Engineering, Growth, Marketing, Clinical, Finance, and Operations leaders to prioritize the highest-impact DS work and ensure the team is focused on the most important company outcomes.
• Build the operating model for the DS function, including intake, prioritization, stakeholder management, project planning, quality standards, and communication cadences.
• Establish and evolve Function’s core product and business measurement frameworks, including north-star metrics, funnels, retention, engagement, member value, experimentation standards, and executive reporting.
• Raise the quality of company decision-making by ensuring analyses are rigorous, actionable, clearly communicated, and tied to concrete product, operational, or business decisions.
• Guide the team in applying the right analytical methods to the right problems, including experimentation, causal inference, segmentation, forecasting, behavioral analysis, personalization, and measurement of member health-related outcomes.
• Partner with Data Engineering, Analytics Engineering, and Product Engineering to improve the reliability, usability, and governance of Function’s data foundations while enabling the DS team to move quickly.

Qualifications

• 10+ years of experience in data science, product analytics, or applied analytics, including significant experience in consumer technology, subscription, marketplace, fintech, health-tech, or another high-scale digital product environment.
• 4+ years of people-management experience, including direct management of data scientists or product analysts; experience leading a team of 15+ is strongly preferred.
• Proven ability to build, lead, and scale a Data Science function, including hiring, coaching, performance management, team structure, planning, prioritization, and operating cadences.
• Strong product and business judgment, with a track record of using data to influence roadmap decisions, growth strategy, retention strategy, operational performance, and executive-level tradeoffs.
• Deep fluency in product and business analytics, including funnels, retention, engagement, cohort analysis, segmentation, experimentation, causal inference, metric design, and executive reporting.
• Excellent executive communication and stakeholder management skills, with the ability to translate ambiguous business problems into analytical roadmaps and clear decisions.
• Strong technical fluency in modern data science and analytics workflows, including SQL, statistical reasoning, experimentation, and analytical tooling.

Nice to Have

• Experience with subscriptions, personalization, lifecycle growth.