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:
Target salary range CA, CT, CO, DC, HI, IL, MA, MD, MN, NY, RI, WA: $203,900 - $262,150Top Skills
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.
Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide.
Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
