Head of Data Products

Role Description

• 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.

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.
• 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.
• 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.

Requirements

• Target base salary range: $160,000-$175,000 depending on experience and education.
• 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).