Director of Enterprise Data Science & Analytics (Hybrid)

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

Benefits offered by this job

Medical benefits

401(k)

Paid parental leave

Tuition assistance

Job summary

Wolters Kluwer seeks a Director of Data Science and Analytics to drive data science, analytics, and AI capabilities across multiple products. You will lead production systems at enterprise scale, ensure data quality and explainability, and partner with Product, Engineering, IT, and Business leaders to meet regulatory needs.

This role emphasizes building senior teams and scalable, data-driven execution. The position involves a hybrid work model with travel up to 10% and onsite collaboration in

Qualifications

• 15+ years of leadership experience in data science, analytics, or AI-enabled groups.
• Proven track record defining and executing enterprise-scale data science/AI strategies.
• Experience operating in executive environments with senior stakeholders.

Responsibilities

• Define and drive the data science and analytics strategy across products and platforms.
• Provide scientific and technical leadership for production data science systems at enterprise scale.
• Ensure data quality, explainability, and audit-readiness of AI outputs.
• Partner with product, engineering, IT, and business leaders to meet regulatory needs.
• Mentor and scale senior data science talent and leaders.

Skills

Data science leadership

Production systems

Data quality

Regulatory/compliance

Strategy translation

Executive communication

Team building

Ownership mindset

Education

Bachelor’s degree in engineering, Data Science, Mathematics

MBA (advanced degree)

Tools

GenAI platforms

Job description

Wolters Kluwer seeks a Director of Data Science and Analytics to drive data science, analytics, and AI capabilities across multiple products. You will lead production systems at enterprise scale, ensure data quality and explainability, and partner with Product, Engineering, IT, and Business leaders to meet regulatory needs.

This role emphasizes building senior teams and scalable, data-driven execution. The position involves a hybrid work model with travel up to 10% and onsite collaboration in