VP, Data Intelligence - FCC (Hybrid)

Wolters KluwerMinneapolis, MN
56dHybrid

About The Position

The Vice President, FCC Data Intelligence Center of Excellence (FDI) will lead the data, analytics, and monetization strategy for the FCC (Financial & Corporate Compliance) division. This executive will own the FCC Data Office, integrating data governance, analytics, and AI-driven operations into a single commercial engine. The ideal candidate brings a strong commercial and finance orientation - understanding how to translate data and analytics into revenue, margin improvement, and new product opportunities. They will lead global teams that transform data assets into insights, APIs, and monetizable data products that power both operational efficiency and external growth.

Requirements

  • 15+ years of progressive leadership across data, analytics, or finance roles, including P&L or monetization experience.
  • Proven track record in building data products, commercializing analytics, and achieving measurable revenue impact.
  • Expertise in data strategy, taxonomy design, AI operations, and financial analytics.
  • Strong grasp of data-driven pricing models, API monetization, and ROI modeling.
  • Strong presentation creation and delivery skills
  • Experience leading global, multi-disciplinary teams (analytics, engineering, data science, operations).
  • Experience in the space of machine learning and AI model development
  • Demonstrated experience influencing C-level stakeholders through analytics and process knowledge and managing enterprise-level transformations.
  • Advanced degree in Finance, Data Science, Engineering, or Business; MBA preferred.
  • This position will work in a hybrid capacity (8 days a month) from one of the following Wolters Kluwer offices: New York, NY, Minneapolis, MN, Waltham, MA or Kennesaw, GA.
  • Domestic travel and infrequent international travel up to 25% may be required.
  • Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Responsibilities

  • Data Monetization & Commercial Strategy
  • Enterprise Data Leadership
  • Analytics & Insight Generation
  • Machine-First Content Creation & AI Enablement
  • Data Engineering & Infrastructure
  • Global Leadership
  • External Representation

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Industry

Web Search Portals, Libraries, Archives, and Other Information Services

Number of Employees

5,001-10,000 employees

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