Director, Product & Marketing Analytics

Role Description

As Director of Product & Marketing Analytics, you will define how Hims & Hers measures and acts on the performance of its core products and marketing investments. You will lead a team of analysts embedded across product and marketing functions and partnering with GMs, PMs, growth leads, and finance to turn complex data into clear decisions. This role sits at the intersection of experimentation, attribution strategy, and retention analytics, and requires someone who can operate from executive alignment to hands-on methodology. Reports to the VP of Data, Analytics, and Data Science.

You Will:

• Strategic Leadership & Stakeholder Partnership
  • Serve as the analytics thought partner to GMs, VPs of Product, and Marketing leadership, shaping roadmaps and investment decisions through data.
  • Represent analytics in cross-functional forums, translating technical findings into executive-ready narratives and influencing decisions at the C-suite level.
  • Maintain visibility into macro-level business sensitivities: e.g., how a 2.5pp shift in retention translates to quarterly and annual revenue impact.
• Product Analytics
  • Own retention analytics across the subscription lifecycle, including cohort design, churn window decomposition, and segment-level intervention prioritization (product type, WL prior experience, check-in engagement, dose adjustment).
  • Define hero metrics, guardrail metrics, and dashboard frameworks to monitor performance across membership and Rx subscription populations in real time.
  • Design experimental and observational analyses to identify causal drivers of retention and churn, and translate findings into CRM, product, and clinical interventions.
  • Partner with product and clinical teams on evaluation of new features and treatment protocols, side-effect management, check-in experience, snooze/save mechanics.
  • Guide segmentation strategy across user attributes to prioritize where retention investment has the highest ROI.
• Marketing Analytics
  • Lead the transition from MTA to MTI (Multi-Touch Incrementality), including MMM validation, incrementality test design (geo holdouts, go-dark tests), cross-category halo methodology, and calibration aligned to quarterly finance targets.
  • Partner with Marketing leadership to assess paid channel efficiency across SEM, Social, OTT TV, Podcast, and emerging channels, with a clear view of where MTI and MTA diverge and why.
  • Inform media mix decisions by quantifying cross-category halo effects and identifying where paid efficiency assumptions may be under- or overstated.
  • Support A/B experiment design and analysis across CRM and marketing channels, including AI Decisioning pilots.
• Team Leadership & Data Infrastructure
  • Lead and develop a team of analysts, setting standards for rigor, documentation, experimentation methodology, and deliverable quality.
  • Collaborate with Data Platform Engineering to define data model requirements, customer state snapshots, dosage/titration tables, retention PDTs.
  • Ensure dashboards and self-serve assets are high-quality, well-documented, and actively used; drive Looker and GrowthBook adoption across product and marketing teams.
  • Champion causal inference over correlation, actionable insight over descriptive reporting, and clear uncertainty communication.
  • Manage FTE allocation across competing workstreams with real-time reallocation to high-urgency questions.

Qualifications

• 12+ years in analytics, data science, or a related quantitative field; at least 3 years in a senior or lead role.
• Bachelor's in Statistics, Mathematics, Economics, Computer Science, Engineering, or related field; advanced degree a plus.
• Experience leading analytics teams in a fast-paced consumer product environment, ideally subscription or DTC.
• Deep expertise in experimental design, A/B testing, holdout groups, and causal inference methods.
• Deep experience with MMM and incrementality testing; comfort navigating disagreements between models.
• Strong command of retention and subscription analytics: cohort analysis, churn decomposition, LTV modeling.
• Expert SQL and experience with large-scale data warehouses (BigQuery, Snowflake, or equivalent).
• Fluency with BI and experimentation platforms such as Looker, GrowthBook, or Tableau.
• Proven ability to communicate complex findings to non-technical executive audiences.
• Strong organizational skills, managing long-horizon projects while responding to time-sensitive needs.

Requirements

• Experience with telehealth, pharmaceutical, or health subscription business models.
• Familiarity with WL therapeutics, clinical pathways, or subscription-based Rx fulfillment.
• Experience with AI-driven decisioning or personalization platforms (e.g., Hightouch, Braze).
• Experience with Python or R for statistical modeling.
• Experience with dbt, Databricks, Airflow, or similar data tooling.
• Exposure to price testing, elasticity modeling, or subscription economics research.

Benefits

• Competitive salary & equity compensation for full-time roles.
• Unlimited PTO, company holidays, and quarterly mental health days.
• Comprehensive health benefits including medical, dental & vision, and parental leave.
• Employee Stock Purchase Program (ESPP).
• 401k benefits with employer matching contribution.
• Offsite team retreats.