Head of Data Products

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