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# Head of Data Products

- **Company:** EVERFI, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000 - $175,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Data Governance, Data Sharing, Tableau (Software), Information Technology, Looker Analytics
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=467a63e92fe996b0

## About the Role

* 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

## Description

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, * 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