• Serve as technical product manager for new integration feature development, creating requirements, managing backlog, prioritizing development, and engaging directly with engineering team • Collaborate with UX, CX, product managers, and other cross-functional teams across Pearson to ensure use cases are understood and requirements are implemented according to user needs • Lead and support continual process improvement by proposing and solutioning optimizations for access and integration workflows and user experiences • Work with Director of Product Management to define product roadmap and growth opportunities • Lead creation of product-related documentation and go-to-market activities • Analyze usage data and customer feedback to inform roadmap and prioritization of requirements • Thinking from a data-first mentality, incorporating data wherever possible for informed decision-making and development • Develop rapport and trust with key stakeholders across Pearson business units

**What you'll be doing:** - **Lead and Shape Initiatives:** Be responsible for key product features from concept through to launch, working alongside UX designers, engineers, and QA specialists. - **Listen and Learn:** Engage directly with our customers and internal teams to deeply understand user needs and domain challenges. - **Build Momentum:** Act as an Agile product owner by writing user stories, collaborating team ceremonies, and helping the team deliver. - **Experiment with Strategy:** Contribute fresh ideas to our product development, marketing strategies, and pricing approaches.

• 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

• You will own the full product lifecycle of the Newsela Supplemental ELA product line, from opportunity evaluation and ideation, through to development, market launch and ongoing updates based on feedback. • Ensure that ELA products meet Newsela’s strategic objectives and drive instructional outcomes, while adhering to budget, timeline, and quality constraints. • Maintain Strong Subject-Specific Market Pulse: Serves as the subject matter expert on market trends, customer needs, competitive offerings, and emerging instructional practices to identify opportunities for product growth, expansion, and differentiation. • Partners with internal and external stakeholders to inform and execute the Supplemental ELS strategy by identifying market opportunities, evaluating customer needs, assessing risks, and recommending product investments. • Use qualitative and quantitative data to inform product direction and decisions, gathering information about district and user needs through interviews and customer visits as well as analytics services. • Define success metrics and monitor product performance, including customer adoption, engagement, retention, instructional outcomes, and business impact, using insights to inform future roadmap decisions. • Collaborate with Content, Product Marketing, and other key stakeholders to prioritize roadmap investments, state standards updates, and new product opportunities, ensuring alignment with customer needs, state adoption timelines, and business objectives.