About the role
Everfi is a leading education technology company founded in 2008 that delivers digital learning solutions focused on real-world skills. The company provides scalable education in areas such as financial literacy, health and wellness, andworkplace readiness.
We're looking for an experienced and strategic leader to serve as our Head of Data Products — a senior role created to build and lead a newly formed, high-impact team at the intersection of data product management, product analytics, research, AI-generated insights, and data governance. Reporting to Everfi's SVP of Product, this role will shape how the entire organization understands and uses data.
Head of Data Products Compensation and Benefits
Target base salary range: $160,000-$175,000 depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, location, Company finances, and other operational considerations.
This role is eligible to participate in the Corporate Bonus Plan
100% Remote position
Health, Dental, and Vision insurance
401(K) with matching contribution
Flexible Paid Time Off (PTO)
Head of Data Products Responsibilities
Set and Own the Strategic Vision
In partnership with the SVP of Product, CTO, and COO, define and evolve the strategic direction for the Product Data function
Create the operating model through which data product management, product analytics, reporting, and research collectively serve product strategy and support SaaS growth
Champion a data-informed product culture, including shared data definitions, consistent methodologies, and evidence-based decision-making
Lead and Develop a High-Performing Team
Directly manage, coach, and grow the newly-formed Product Data team through regular one-on-ones and genuine investment in each person's career trajectory
Set clear performance expectations, conduct formal reviews, and drive compensation and promotion recommendations
Lead hiring and onboarding for the Product Data team
Drive Delivery Performance
Own a prioritized, outcome-oriented roadmap aligned to the highest-value business decisions
Serve as the primary escalation point for blockers, cross-team dependencies, and resourcing constraints
Monitor team output quality and proactively resolve systemic delivery issues before they affect product outcomes
Lead Cross-Functionally
Build trusted working relationships with Engineering, Customer Success, Marketing, Sales, and Operations
Position the data team as a strategic partner — not just a delivery function
Represent the team at senior leadership levels and contribute a data and evidence-based perspective to the broadest product conversations
Champion Governance and Data Culture
Establish and maintain standards for data quality, research methodology, and analytical integrity
Develop guidelines for data privacy, ethical data use, and responsible research practices
Drive a culture of continuous improvement in how the team gathers, analyzes, and translates data into product decisions
Head of Data Products Qualifications
A 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; and at least 3 years leading a multi-function or cross-disciplinary team
Demonstrated ability to effectively lead, with a track record of building high-performing, cohesive teams across data, analytics, and research disciplines
Broad expertise across data product management, product analytics, and both qualitative and quantitative research methods — enabling you to set direction, evaluate quality, and integrate outputs across a multi-disciplinary team into a single, coherent product data strategy
Outstanding data storytelling skills — the ability to translate complex findings into clear, compelling narratives for executive and non-technical audiences alike
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 (e.g., Sigma, Tableau, Looker, or equivalent)
Proven ability to manage competing priorities across concurrent workstreams without losing rigor, care, or momentum
Deep collaborative instincts — experienced building effective partnerships across Engineering, Product, Customer Success, and business operations
Experience working with customers and end-users to gather product requirements and define market needs
Originally posted on Himalayas