Head of Data Products
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Job Description
Head of Data Products leading data product management, analytics, research, AI insights, and governance. Shaping data strategy for Everfi’s digital education platform.
Responsibilities:
- Define and evolve the strategic direction for the Product Data function in partnership with the SVP of Product, CTO, and COO
- Create the operating model for data product management, product analytics, reporting, and research to support product strategy and SaaS growth
- Champion a data-informed product culture with shared data definitions, consistent methodologies, and evidence-based decision-making
- Directly manage, coach, and develop the newly formed Product Data team
- Conduct one-on-ones and invest in team members' career development
- Set performance expectations, conduct formal reviews, and drive compensation and promotion recommendations
- Lead hiring and onboarding for the Product Data team
- Own a prioritized, outcome-oriented roadmap aligned with high-value business decisions
- Serve as the primary escalation point for blockers, cross-team dependencies, and resourcing constraints
- Monitor team output quality and resolve systemic delivery issues
- Build working relationships with Engineering, Customer Success, Marketing, Sales, and Operations
- Represent the team at senior leadership levels and contribute data-driven perspectives to product discussions
- Establish standards for data quality, research methodology, and analytical integrity
- Develop guidelines for data privacy, ethical data use, and responsible research practices
- Drive continuous improvement in how data is gathered, analyzed, and translated into product decisions
Requirements:
- Bachelor's degree in a relevant field (data science, statistics, computer science, product management, social science, or equivalent) — or an equivalent combination of education and experience
- At least 7 years of progressive experience in data, analytics, or product management
- At least 3 years leading a multi-function or cross-disciplinary team
- Track record of building high-performing, cohesive teams across data, analytics, and research disciplines
- Broad expertise across data product management, product analytics, and qualitative and quantitative research methods
- Outstanding data storytelling skills for executive and non-technical audiences
- Strong command of data governance principles, including data quality standards, shared definitions, research ethics, and responsible data use
- Familiarity with product analytics tooling and data visualization platforms such as Sigma, Tableau, Looker, or equivalent
- Ability to manage competing priorities across concurrent workstreams
- Experience building partnerships across Engineering, Product, Customer Success, and business operations
- Experience working with customers and end-users to gather product requirements and define market needs
Benefits:
- Corporate Bonus Plan eligibility
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) with matching contribution
- Flexible Paid Time Off (PTO)
- 100% remote position
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