Wiley

Wiley

Group Vice President, Product Management

Hoboken (HQ), NJ, USA · Exec

Sponsorship not specifiedDetected 20 days ago
Machine LearningData AnalysisData ScienceComputer VisionAgentic AIA/B TestingComplianceProduct ManagementProduct StrategyProcurementResearchLeadershipCollaboration

About the role

  • 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.
  • These are not separate product lines-they share a common platform foundation, and you ensure each area reinforces the others.

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.
  • 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.
  • 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
  • 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.
  • Familiarity with enterprise security and privacy standards (SOC2 Type II, ISO 27001, GDPR/CCPA) as product design requirements.
  • And your work creates breakthroughs that can change everything.

Requirements

  • Ability to translate complex technical features into clear, outcome-based value propositions for different buyer personas (e.g., C-Suite vs.
  • Experience in designing and iterating SaaS pricing models (usage-based, seat-based, or tiered) to maximize Net Revenue Retention (NRR).
  • Familiarity with corporate R&D buyers in pharma, biotech, engineering, or adjacent verticals - including their procurement cycles, enterprise integration expectations, and the competitive landscape.
  • 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.
  • Proficiency in product analytics, A/B experimentation, and evidence-based prioritization methodologies.
  • Required Experience & Qualifications
  • Commercial Strategy & Positioning: Ability to translate complex technical features into clear, outcome-based value propositions for different buyer personas (e.g., C-Suite vs.

Compensation

  • 218,900 USD to 328,567 USD#LI-JL1

Benefits

  • 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.
  • 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 the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Equal opportunity

  • Wiley is an equal opportunity/affirmative action employer.

This listing is sourced directly from Wiley's careers page and normalized into a canonical job model.