Group Vice President, Product Management

Group Vice President, Product Management page is loaded## Group Vice President, Product Managementremote type: Hybridlocations: Hoboken (HQ), NJ, USAtime type: Full timeposted on: Posted Todayjob requisition id: R2600572**Job Description:**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:****Head of Product (Data Analytics & AI)**The Opportunity As Group VP, Head of Product, you are the accountable executive owner of Wiley’s AI & Data Analytics Business Unit product portfolio—the company’s designated second growth engine.The role calls for a product-led operator who pairs strong product craft with commercial instinct to turn strategy into a roadmap that scales based on evidence, not assumption. You own the product portfolio across three connected product lines: AI & Data Analytics Platform Services (including Applied Research Intelligence Platform), Database Solutions (turning Wiley’s proprietary reference works and scientific collections into machine-readable data products), and Audience Solutions (evolving advertising and engagement into an AI-powered marketing intelligence product). These are not separate product lines—they share a common platform foundation, and you ensure each area reinforces the others. You report to the Chief AI & Data Analytics Officer and lead product managers and UX across all three product lines. You are the primary interface between commercial GMs and functional leads (Head of Technology, Head of Data Science), partnering with them to turn requirements into capabilities and evidence into roadmap and revenue decisions.**Key Responsibilities**• **Unified Product Strategy & Roadmap:** Own an integrated strategy and roadmap across AI & Data Analytics Platform Services, Database Solutions, and Audience Solutions, ensuring the product lines share a common foundation and build on shared capabilities over time.• **Commercial Requirements Translation:** Own commercial intake, evaluate priorities against strategy, and convert them into a sequenced roadmap with milestones, business cases, and clear launch/hold decisions.**• Product Architecture:** Design the product architecture to serve corporate buyer demand and near-term revenue opportunities. o Define and sequence Applied Research Intelligence Platform capabilities, including structured extraction and enrichment, knowledge graph construction, enterprise APIs, Model Context Protocol (MCP) access (standard interface for AI agents/tools), rights and entitlements governance, and clean-room execution (privacy-safe analysis environments).**• Lead the productization** of Wiley's proprietary scientific collections by transforming legacy-format content into structured, machine-readable, high-margin data products. o Define the product vision for advertising and audience engagement, supported by behavioral analytics that turn Wiley’s opted-in first-party audience into sellable insights and signals that inform structured data extraction priorities.**• Market Validation & Evidence-Based Prioritization**: Define leading indicators for execution and partner with data science and commercial teams to validate the content-depth advantage use case by use case, investing where depth is proven.**• Build/Buy/Partner Decisions:** Lead the product dimension of the build/buy/partner agenda by defining the commercial framing, strategic rationale, and partner guardrails.**• Global Team Management:** Lead and develop a high-performing, multi-disciplinary product organization spanning product management, UX, and product strategy, and build the processes and culture required for software-led, enterprise-grade execution.• **Strategic Collaboration:** Partner with the General Manager, commercial leaders, Head of Data Science, and Head of Technology to ensure the product strategy and roadmap realize the division's AI-powered vision.**Required Experience & Qualifications****• Enterprise Product Leadership**: 15+ years of product management experience, with at least 7 years leading product organizations in enterprise SaaS, data products, or AI/ML platforms. Demonstrated track record of owning a product portfolio from early-stage validation through scaled commercial deployment including revenue achievements, including defining pricing architecture, access models, and product economics.**• Commercial Strategy & Positioning:** Ability to translate complex technical features into clear, outcome-based value propositions for different buyer personas (e.g., C-Suite vs. End User). Maintain a "Battlecard" mentality; stay ahead of market shifts and competitor movements to influence pricing and packaging strategies. Experience in designing and iterating SaaS pricing models (usage-based, seat-based, or tiered) to maximize Net Revenue Retention (NRR).**• Data & AI Product Depth:** Proven experience building and commercializing data products (structured datasets, APIs, knowledge graphs, AI-powered analytics) for enterprise buyers in regulated markets. You understand provenance, rights governance, and compliance (GDPR, CCPA) as product requirements.**• Corporate R&D Market Experience:** Familiarity with corporate R&D buyers in pharma, biotech, engineering, or adjacent verticals — including their procurement cycles, enterprise integration expectations, and the competitive landscape.**• Platform Thinking:** Demonstrated ability to run a multi-product portfolio on a shared platform foundation, avoiding one-off solutions that are costly to maintain and don’t create long-term customer or revenue value.**• Commercial Instinct:** Strong grasp of product economics (usage-based pricing, tiered subscriptions, API monetization, data licensing, access controls and usage tracking) and ability to tie product decisions to ARR, NRR, and unit economics.**• Interpersonal & Organizational Complexity:** Proven ability to lead through shared accountability across commercial, data science, and engineering stakeholders.**• Technical Literacy:** Working knowledge of modern data stack technologies, API product design, and enterprise integration architectures.**• Analytics & Experimentation:** Proficiency in product analytics, A/B experimentation, and evidence-based prioritization methodologies.**• Enterprise Compliance:** Familiarity with enterprise security and privacy standards (SOC2 Type II, ISO 27001, GDPR/CCPA) as product design requirements.**We power infinite possibilities.**For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere.We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation #J-18808-Ljbffr Wiley Publishing