Senior Director, Product Management

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

Wiley is establishing Enterprise Systems Product Management to manage enterprise technology as product-led domains, aligning technology investments with business capabilities and measurable outcomes.

Reporting to the Vice President, Enterprise Systems Product Management, the Product Management Lead will own the Enterprise Data Platform domain, including its roadmap, priorities, adoption, and business outcomes. The role will partner closely with business capability owners and Technology teams to simplify Wiley's data landscape and create a unified, governed platform that enables trusted decision-making, greater data reuse, and improved operational efficiency.

This is a high-impact leadership opportunity for an experienced product leader who can navigate complexity, influence senior stakeholders, and translate business needs into practical, scalable data capabilities.

• Lead and develop the Enterprise Data Platform domain team, setting clear priorities, strengthening product management capabilities, and creating effective ways of working across business and technology teams.
• Partner with business and functional leaders to translate strategic objectives and operational needs into clear data and technology requirements.
• Own and evolve the Enterprise Data Platform roadmap, balancing strategic priorities with platform health, risk, capacity, and long-term business value.
• Lead transparent prioritisation across the domain, making informed trade-offs about which capabilities to build, improve, reuse, modernise, defer, or retire.
• Collaborate with engineering, architecture, security, infrastructure, governance, and delivery teams to shape practical and scalable solutions.
• Drive the adoption of data products and platform capabilities, ensuring the business realises measurable value from trusted, governed, and reusable data.
• Promote consistent data definitions, identity services, access models, and reusable reporting and decision-support capabilities across the organisation.
• Build effective partnerships across business and technology teams, ensuring the Enterprise Data Platform continues to support Wiley's evolving needs.

• Proven experience leading enterprise products, platforms, or technology domains, with accountability for roadmaps, prioritisation, adoption, and business outcomes.
• Strong understanding of enterprise data platforms and data ecosystems that support commercial and operational decision-making.
• Experience with enterprise data platforms, Customer Data Platforms (CDPs), Master Data Management (MDM), data products, Business Intelligence (BI), analytics platforms, or semantic layer solutions.
• Demonstrated ability to influence and build trusted relationships with senior stakeholders across product, engineering, architecture, governance, and commercial functions.
• Strong technical understanding, enabling credible collaboration with engineering teams and informed decision-making on practical, scalable solutions.
• Experience leading, coaching, and developing teams while maintaining clear priorities, accountability, and effective stakeholder partnerships.
• Strong prioritisation and decision-making skills, with the ability to assess competing demands against business value, risk, reuse, and capacity.
• Clear and confident communication skills, with the ability to engage both business and technology audiences.

• Experience establishing or maturing product management practices within an enterprise technology environment.
• Demonstrated success consolidating complex and fragmented stakeholder demand into a clear, unified product roadmap.
• A track record of improving data trust, technology adoption, delivery effectiveness, and measurable business outcomes.
• Familiarity with identity management, data governance, reusable data products, shared definitions, and enterprise access models from a product ownership perspective.

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