Role Overview

The Director – Data Science and Analytics is accountable for the delivery, quality, and impact of data science, analytics, and AI capabilities across multiple products and platforms.

This role focuses on leveraging data-driven strategies, drive operational efficiency, informs decision-making, and positions the DnA organization for continued growth and competitive advantage.

The Director serves as the leading authority for data analytics projects, while partnering with Product, Engineering, IT, and Business leaders to translate regulatory, customer, and market needs into scalable, machinefirst solutions.

Key Responsibilities (HighLevel Themes)

• Own the data and analytics strategy for DnA team in FCC, spanning applied machine learning, analytics, and GenAI

• Provide scientific and technical leadership for production data science systems operating at enterprise scale

• Own the quality, confidence, and integrity of data and AI outputs used across customerfacing and regulatory products

• Establish standards for explainability, traceability, validation, and auditreadiness of AIdriven outcomes

• Drive organizational understanding of data, entities, signals, taxonomies, and domain behavior

• Ensure decision science solutions balance accuracy, scale, cost, and risk while remaining commercially viable

• Enable product differentiation and velocity through reusable analytics, AI platforms, and shared capabilities

• Support data monetization and external distribution through APIs and strategic partner integrations

• Define and govern enterprisegrade data quality, monitoring, and AI lifecycle practices

• Partner closely with Product, Engineering, and IT leadership to align data science outcomes with business and compliance priorities

• Build, mentor, and scale senior data science talent, setting the technical and cultural bar for the organization.

What You Bring

• Extensive experience in data science, analytics, or applied AI, including senior leadership roles

• Proven ability to lead largescale, production product/ systems in complex environments

• Deep intuition for modelling tradeoffs, data quality limitations, and realworld failure modes

• Experience applying data science in regulated, compliancedriven, or highstakes business contexts

• Demonstrated capability to translate strategy into scalable, datadriven execution

• Strong communication skills across executive, product, and technical audiences

• Track record of building highperforming teams and senior technical leaders

• Ownership mindset with focus on longterm outcomes rather than shortterm activity

Education

• Bachelors degree in engineering, Data Science, Mathematics, or a related field

• Advanced degree preferred (MBA)

Experience

• 15+ years of extensive progressive leadership experience in data science, analytics, or AIenabled organizations

• Proven experience defining and executing enterprisescale data science or AI strategies

• Track record of operating in executive environments with senior stakeholder accountability

Travel/Work Model

• Minimal/Up to 10%
• Hybrid Work Model - Minimum of eight days a month in the office - Dallas, TX, Minneapolis, MN or New York, NY.

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.