Head of Data
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Job Description
Senior data leader overseeing analytics and data engineering at Freshpaint, enhancing healthcare marketing strategies while ensuring data compliance and security.
Responsibilities:
- Set the company-wide strategy for product analytics, business metrics, and GTM insights
- Define the core measurement frameworks for product usage, activation, retention, expansion, and customer value
- Ensure analytics meaningfully influence product roadmap decisions, GTM strategy, and operational planning
- Oversee the delivery of trusted dashboards, reporting, and self-serve analytics used by executives and functional leaders
- Establish standards for metric definitions, data quality, and analytical rigor across the organization
- Lead the data engineering strategy in close partnership with data engineers
- Set expectations and priorities for how data engineering supports analytics, product insights, and ML use cases
- Ensure the data foundation (ingestion, modeling, storage, governance) scales with the business and product needs
- Act as the primary stakeholder for analytics requirements, guiding architectural decisions without owning day-to-day pipeline development
- Own the vision and prioritization for customer-facing analytics and insight products (benchmarks, insight cards, modeled datasets, ML/AI features)
- Partner with Product and Engineering to ensure these capabilities drive differentiation and customer value
- Balance experimentation and innovation with delivery of durable, scalable data products
- Lead and scale the analytics and ML organization; define roles, career paths, and team structure
- Hire and develop senior talent who can operate autonomously and influence cross-functionally
- Create clear operating rhythms, planning processes, and success metrics for the data organization
- Foster a culture of accountability, curiosity, and outcome-driven execution
- Own the data roadmap and prioritize initiatives based on business impact and strategic goals
- Partner closely with Product, Engineering, GTM, Finance, and CS leadership to align on data priorities
- Define and track data and analytics KPIs; ensure leadership has visibility into performance and outcomes
- Guide vendor strategy and build-vs-buy decisions across analytics and ML tooling
Requirements:
- A senior data leader with a track record of building, scaling, and leading analytics-focused organizations, experience growing teams in a fast paced startup environment
- 7+ years in high-growth SaaS environments, with experience operating at the intersection of product, GTM, and data
- Hands-on experience implementing and scaling a data platform with personal track record of owning and maintaining technologies such as Airflow, Snowflake, BigQuery, Looker, BigTable, etc.
- Deep understanding of product analytics and business metrics, with strong judgment around data architecture and platform decisions
- Experience leading through influence and partnership with data engineering teams
- Proven ability to scale teams, set direction, and drive alignment across functions
- Experience owning or guiding customer-facing data and insight products
- Strong executive communication skills; able to translate data strategy into business outcomes.
Benefits:
- Competitive pay + generous equity (10-year exercise window)
- Fully remote (U.S. only) with a $150/month coworking stipend
- Half-day Fridays, every Friday
- Unlimited PTO—with a *required* 2-week minimum
- Top-tier health, dental & vision (100% covered for you, 80% for dependents)
- 2 “Treat Yourself” days a year—$100 and a day off, just because
- Generous parental leave
- Epic offsites twice a year (past trips: Greece, Jackson Hole, Cabo, wine country + more)
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