Background

Pearson exists to help people make progress through learning, and AI is a powerful way for us to do that—when we use it wisely. As AI moves from scattered experiments to everyday use across our products and operations, we need to ensure our investments are focused, coordinated, and delivered responsibly. That’s why we created the AI Center for Enablement (C4E): a company‑wide hub that brings together shared strategy, standards, reusable components, and applied research, so teams don’t have to solve the same problems in isolation. 

Within the C4E, the Strategy & Governance function provides the clarity and direction that keeps our efforts aligned. We shape the enterprise AI strategy, run a unified demand‑intake process, guide prioritization through the AI Strategy Council, and track the value and impact of our investments. This work ensures that every AI initiative we support is purposeful, avoids duplication, and contributes to Pearson’s long‑term ability to scale AI safely, ethically, and effectively.

Job Summary
Drive the strategic oversight and governance of Pearson’s unified AI portfolio, ensuring every initiative is aligned to business goals, delivers measurable impact, and meets the highest standards of responsible AI. This advanced specialist role leads capital project management for the AI Center for Enablement, embeds robust governance controls, and champions continuous improvement. You’ll collaborate across teams, model Pearson’s values, and empower the organization to minimize the risk and maximize the visibility of value of our AI investments 

Key ResponsibilitiesOperationalize Responsible AI principles and governance controls, ensuring compliance with audits and regulatory requirements in partnership with the Head of Responsible AI.Implement NIST-aligned AI risk management practices with Cybersecurity, covering both internal platforms and third-party vendors.Design and test enterprise agent use cases with the Global Quality Standards team to advance agentic governance for Responsible AI.Document and communicate risk tiers, assessments, and approval thresholds as defined by Data Privacy, Architecture, Cybersecurity, and Procurement.Support governance audits and drive gap remediation in collaboration with the enterprise risk management function.Define and embed AI incident classification and response within the enterprise incident management framework.Analyze and surface systemic AI risk trends across CTO, Product, and Operations portfolios to inform leadership decisions.Brief senior stakeholders—including the Head of Responsible AI, CTO, and executive leaders—on emerging AI risk patterns and governance gaps.Design and deliver lightweight, defensible governance reporting, driving continuous improvement as data foundations mature.Identify and automate high-value governance signals (e.g., inventory completeness, assessment coverage) for early agent adoption.Integrate governance findings into standards, policies, and operating model refinements.Lead C4E capital project management, including financial planning, business case development, and quarterly portfolio reviews.Develop and manage KPI tracking, benefits/ROI dashboards (such as AI 360), and performance reporting for all AI projects.Provide actionable AI portfolio insights to the CTO on technical debt, platform constraints, and enablement gaps.Prepare and present quarterly portfolio reviews, contributing to Portfolio Executive Management (PEM) processes.Partner with the OCTO Program Office to streamline AI reporting, intake, and review processes across teams.Collaborate with Data, Innovation, and Architecture teams to align business engagement and impact reporting, leveraging emerging data foundations and agents.Share insights, mentor others, and model Pearson’s values of exceptional collaboration and leadership.Required Skills and CompetenciesAdvanced analytical skills and business acumen to drive strategic decisions and deliver measurable outcomes.Effective communication and stakeholder management, influencing cross-functional teams and senior leaders.Expertise in portfolio planning, project management, performance measurement, and compliance.Adaptability and problem-solving mindset, thriving in complex, fast-paced environments.Proficiency in artificial intelligence, data literacy, governance, and change leadership.Commitment to Pearson’s essential behaviors: Customer Centricity, Exceptional Collaboration for Value, Raising the Performance Bar, and Our Leaders Inspire.Qualifications (Education & Experience)Bachelor’s degree in a relevant field (e.g., Business, Data Science, Project Management).Proven experience in portfolio management, financial planning, and AI governance.Track record of delivering high-impact projects in a collaborative, fast-paced environment.