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Group Vice President, Product Management

Job in Hoboken, Hudson County, New Jersey, 07030, USA
Listing for: Wiley Publishing
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Group Vice President, Product Management page is loaded## Group Vice President, Product Management remote type:
Hybrid locations:
Hoboken (HQ), NJ, USAtime type:
Full time posted on:
Posted Todayjob requisition :
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…
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