Director, Business Intelligence (Data and Analytics) - Hybrid

Wolters Kluwer; Texas; Hybrid; USD 138,000 - 246,000; Full time

Benefits offered by this job

Medical

Dental

Vision Plans

401(k)

FSA/HSA

Commuter Benefits

Tuition Assistance Plan

Vacation and Sick Time

Paid Parental Leave

Job summary

Wolters Kluwer seeks a Director – Data Science and Analytics to lead the delivery, quality, and impact of data science, analytics, and AI across products and platforms. You will drive data-driven strategies to improve operations and inform decisions, positioning the DnA organization for growth.

The role partners with Product, Engineering, IT, and business leaders to translate regulatory, customer, and market needs into scalable, machine-first solutions while mentoring senior talent and ensuring

Qualifications

• Extensive experience in data science, analytics, or applied AI with senior leadership.
• Experience leading enterprise-scale data science initiatives.
• Ability to translate strategy into scalable, data-driven execution.
• Strong cross-functional communication with exec, product, and tech audiences.
• Proven track record building high-performing data teams.

Responsibilities

• Own data and analytics strategy for DnA across multiple products.
• Provide scientific and technical leadership for production data systems.
• Ensure quality, confidence, and integrity of AI outputs.
• Define standards for explainability, validation, and audit-readiness.
• Mentor and scale senior data science talent.

Skills

Data science leadership

Production systems

Strategic execution

Executive communication

Mentoring teams

Education

Bachelor's in engineering or data science

MBA (preferred)

Tools

AI platforms

GenAI & ML tooling

Job description

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, machine‑first solutions.

Key Responsibilities (High‑Level 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 customer‑facing and regulatory products




• Establish standards for explainability, traceability, validation, and audit‑readiness of AI‑driven 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 enterprise‑grade 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 trade‑offs, data quality limitations, and real‑world failure modes




• Experience applying data science in regulated, compliance‑driven, or high‑stakes business contexts




• Demonstrated capability to translate strategy into scalable, data‑driven execution




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




• Track record of building high‑performing teams and senior technical leaders




• Ownership mindset with focus on long‑term outcomes rather than short‑term activity

Education

• Bachelor’s 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 AI‑enabled organizations




• Proven experience defining and executing enterprise‑scale 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.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$137,900.00 - $246,350.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information :

• Medical


• Dental


• Vision Plans


• 401(k)


• FSA/HSA


• Commuter Benefits


• Tuition Assistance Plan


• Vacation and Sick Time


• Paid Parental Leave

Full details of our benefits are available upon request.