Head of Product

Pearson • Hoboken, NJ

3h • $200,000 - $220,000

About The Position

Pearson's data organization is undergoing a significant transformation, and they are seeking builders for the role of Head of Data Product. This role will lead the strategy, build, and scale of Pearson's enterprise data product portfolio. Reporting to the Global Head of Data, this position is central to advanced technology, data, AI, and analytics as key drivers of long-term growth. The responsibilities include modernizing platforms, scaling AI-driven capabilities, and embedding data-informed decision-making across Pearson's global ecosystem. This is a player-coach role, requiring both strategic thought leadership and hands-on practice. The Head of Data Products will define the vision and operating model for a product-led data organization, working closely with engineering and analytics teams. This role acts as a liaison between technical data teams and business stakeholders, translating complex data capabilities into scalable, high-value products across various segments and corporate functions.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Eligible to participate in an annual incentive program
• Information on benefits offered is here [https://nam02.safelinks.protection.outlook.com/?url=https://pearsonbenefitsus.com/&data=04|01|[email protected]|2c256513c79f4679be7c08d9e7287ebb|8cc434d797d047d3b5c514fe0e33e34b|0|0|637794983376381246|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000&sdata=t1YQPUL7BgoclUd7yE2i86QAirLf4z3z8OEWgr42q7c=&reserved=0]

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed