AVP, Model Monitoring Analytics managing model risk oversight across deployed models in financial settings. Leveraging advanced analytics and regulatory understanding to ensure robustness and interpretability.
About the role
- Vice President overseeing data intelligence, analytics, and monetization for Wolters Kluwer's FCC division. Leading global teams and integral data strategies that drive revenue and operational efficiency.
Responsibilities
- 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
- Serve as FCC’s Chief Data Officer, accountable for FCC data strategy, governance, architecture, and quality with a strong business and revenue-generating focus
- Lead advanced analytics teams focused on sales performance, market intelligence, M&A research, and lead generation
- Embed AI and automation across FCC content and data operations
- Oversee data pipelines and model deployment frameworks across the FCC data ecosystem
- Lead a global organization of nine directors and cross-functional teams across the U.S. and India
- Represent FCC in industry forums such as Gartner’s CDO Council, Knowledge Graph Conference, and other data commercialization events
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
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Wellness programs
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