VP, Data Intelligence - FCC (Hybrid)

About the Role

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.

[Integrate advance analytics into decision making]

Key Responsibilities

1. Data Monetization & Commercial Strategy

• Lead FCC’s data monetization roadmap, identifying internal and external data assets with high revenue or licensing potential and converting that into value and profitable revenue streams in a way that aligns with WK strategy.

• Partner with Product, Finance, and GTM teams to create data-driven products, APIs, and insights packages that extend WK’s market leadership.

• Develop business cases for monetization initiatives, forecasting ROI, pricing models, and revenue attribution.

• Drive partnerships and pilots with external fintechs, RegTechs, and institutions to commercialize FCC’s proprietary data.

2. Enterprise Data Leadership

• Serve as FCC’s Chief Data Officer, accountable for FCC data strategy, governance, architecture, and quality with a strong business and revenue- generations focus.

• Establish unified taxonomies and metadata standards to support consistent data consumption across analytics, operations, and customer-facing products.

• Champion responsible data use, privacy compliance, and AI governance.

3. Analytics & Insight Generation

• Lead advanced analytics teams focused on sales performance, market intelligence, M&A research, and lead generation.

• Translate insights into actionable recommendations that accelerate growth and profitability.

• Build self-service analytics and executive dashboards that integrate financial, operational, and customer data.

4. Machine-First Content Creation & AI Enablement

• Embed AI and automation across FCC content and data operations.

• Direct the creation of machine-generated content and taxonomies to accelerate license, compliance, and regulatory data curation.

• Build a culture of “machine-first, human-validated” operations that blends productivity with expert oversight.

5. Data Engineering & Infrastructure

• Oversee data pipelines and model deployment frameworks across the FCC data ecosystem.

• Ensure reliable, real-time data delivery for both operational and analytical use cases.

• Partner with Technology to optimize Fabric-based and Azure-native data infrastructure for scale and performance.

6. Global Leadership

• Lead a global organization of nine directors and cross-functional teams across the U.S. and India.

• Build a culture of innovation, accountability, and commercial ownership within data teams.

• Attract, develop, and retain top-tier analytics, engineering, and data science talent.

7. External Representation

• Represent FCC in industry forums such as Gartner’s CDO Council, Knowledge Graph Conference, and other data commercialization events.

• Act as an evangelist for WK’s applied AI and data monetization capabilities in the compliance domain.

Qualifications

• 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.

Compensation: