Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Wolters Kluwer

Director, Business Intelligence – Data and Analytics

Wolters Kluwer

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

Posted 9/16/2026full-timeDallas • New York • United StatesLead💰 $137,900 - $246,350 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in data science, analytics, and applied AI, with a strong focus on leading enterprise-scale data science strategies and ensuring data quality and integrity. Capable of building and mentoring high-performing teams while aligning data science outcomes with business and compliance priorities.

Highest-signal resume keywords
Data Science LeadershipEnterprise-Scale Data StrategyRegulatory Compliance ExperienceTeam Building and MentorshipData Quality Management

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Applied Machine LearningData AnalyticsAI Strategy ExecutionData Quality MonitoringStatistical ModellingData MonetizationAPI DevelopmentDecision Science SolutionsData GovernanceEnterprise Data Systems
Soft Skills
Strong Communication SkillsOwnership MindsetStrategic ThinkingCollaborationLeadership
Certifications & Qualifications
Bachelor’s Degree in EngineeringBachelor’s Degree in Data ScienceBachelor’s Degree in Mathematics
Industry Keywords
Data ScienceAnalyticsAICompliance-Driven EnvironmentsHigh-Stakes Business ContextsEnterprise-Grade SystemsData IntegrityExplainability StandardsAudit-ReadinessProduct Differentiation

About the role

Key responsibilities & impact
  • Own the data and analytics strategy for the 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 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

Requirements

What you’ll need
  • 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
  • Bachelor’s degree in engineering, Data Science, Mathematics, or a related field
  • 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
  • Minimal/Up to 10% travel
  • Candidates must participate in interviews without AI tools or external prompts
  • Candidates may be required to appear onsite at a Wolters Kluwer office during recruitment

Benefits

Comp & perks
  • Bonus eligibility
  • Medical, Dental, & Vision Plans
  • 401(k)
  • FSA/HSA
  • Commuter Benefits
  • Tuition Assistance Plan
  • Vacation and Sick Time
  • Paid Parental Leave