Head of Product

Pearson VUE

Head of Data Product leading the strategy and scaling of Pearson's data product portfolio. Collaborating with engineering and analytics teams to drive data-informed decision-making.

Posted 6/16/2026full-timeRemote • New Jersey • 🇺🇸 United StatesLead💰 $200,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryGoogle Cloud PlatformTableau

About the role

Key responsibilities & impact

Define and execute the enterprise data product strategy, vision, and roadmap, focusing first on self-service analytics and expanding across domains; drive prioritization aligned to measurable business outcomes
Define enterprise standards for evaluating data product investments, with value realization and adoption impact as core criteria
Lead design, build, and rollout of data products: single source of truth, reusable and scalable assets, measurable business impact
Shape data models and semantic layers; define MVPs; accelerate time to market using AI
Embed a culture of iteration and innovation — informed by user feedback, usage data, and emerging technology
Stand up and scale a small, high-performing Data Product team; define roles, responsibilities, and ways of working across product, engineering, and analytics
Lead, mentor, and coach data product managers on product mindset, prioritization, stakeholder engagement, and execution discipline
Champion a data-as-a-product mindset across the organization, driving cultural and operational change to treat data with the same rigor as software products
Lead the development of self-service data platforms to democratize access to trusted data across business units, enabling consistent metrics, standardized models, and easy-to-use data access for business stakeholders
Drive adoption across business teams, reducing fragmented analytics and enabling business users to sustain self-service independently
Partner with platform teams on medallion architecture (bronze/silver/gold), scalable pipelines, and modeling
Ensure data products are built on a governed, high-quality enterprise platform; align with real-time and streaming architectures
Partner with business stakeholders (Marketing, Sales, Product, Finance); collaborate with Engineering, Analytics Engineering, and Governance
Act as the bridge between business needs and technical execution; build executive alignment and influence while ensuring business needs are translated into actionable data product roadmaps

Requirements

What you’ll need

10+ years in data, analytics, or product management; 5-8+ years in Data Product Management at enterprise scale
Proven track record in building and scaling data products or data platforms at enterprise scale
Strong product management expertise: vision, roadmap, prioritization, value delivery; experience leading and scaling product teams
Ability to operate at both strategic and hands-on levels; agile/scrum methodology applied to data product delivery
Change management experience - driving organizational shift toward product-led, data-driven decision-making
Deep hands on understanding of modern data engineering, architecture, governance, and analytics
GCP / BigQuery; dbt / data transformation & semantic modeling; visualization tools (Looker, Tableau, Power BI)
Medallion architecture (bronze/silver/gold); data pipelines, modeling, and data access patterns
Data governance, cataloging, data contracts & SLAs for governed data product delivery
AI/ML literacy: understanding generative AI integration, model outputs as data products
Experience enabling self-service analytics at scale; strong KPI frameworks and business performance metrics
Ability to connect data products to measurable business outcomes: growth, efficiency, decision-making
Thought leader in data products and analytics transformation; builder mindset, thrives in ambiguity
Highly collaborative; outcome-oriented; executive presence

Benefits

Comp & perks

This position is eligible to participate in an annual incentive program
Information on benefits offered is here

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Hard Skills & Tools

data product managementdata engineeringdata architecturedata governancedata transformationsemantic modelingself-service analyticsKPI frameworksagile methodologyAI/ML integration

Soft Skills

leadershipcollaborationchange managementstrategic thinkingproduct mindsetmentoringcommunicationoutcome-orientedexecutive presenceinnovation