Group Vice President, Product Management

Wiley Global Technology • Hoboken, NJ

19h • Onsite

About The Position

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.

Requirements

• 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.
• 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).
• 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.
• Familiarity with corporate R&D buyers in pharma, biotech, engineering, or adjacent verticals — including their procurement cycles, enterprise integration expectations, and the competitive landscape.
• 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.
• 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.
• Proven ability to lead through shared accountability across commercial, data science, and engineering stakeholders.
• Working knowledge of modern data stack technologies, API product design, and enterprise integration architectures.
• Proficiency in product analytics, A/B experimentation, and evidence-based prioritization methodologies.
• Familiarity with enterprise security and privacy standards (SOC2 Type II, ISO 27001, GDPR/CCPA) as product design requirements.

Responsibilities

• 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.
• Own commercial intake, evaluate priorities against strategy, and convert them into a sequenced roadmap with milestones, business cases, and clear launch/hold decisions.
• Design the product architecture to serve corporate buyer demand and near-term revenue opportunities.
• 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.
• 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.
• 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.
• Lead the product dimension of the build/buy/partner agenda by defining the commercial framing, strategic rationale, and partner guardrails.
• 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.
• 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.

Benefits

• meeting-free Friday afternoons allowing more time for heads down work and professional development
• robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow
• competitive compensation
• comprehensive benefits package

What This Job Offers

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