Hiring: Director, Business Intelligence (Data and Analytics) - Hybrid Company: Wolters Kluwer Location: Dallas, TX Job Posted Time: 2026-09-16 11:01:33 Employment Type: Hybrid Target Skills & Keywords : Machine Learning About the job 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 •Hybrid Work Model - Minimum of eight days a month in the office - Dallas, TX, Minneapolis, MN or New York, NY. •Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Required Skills: •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. •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 Qualifications: •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 •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 •Advanced degree preferred (MBA) Compensation: •$137,900 - $246,350 / year •Competitive benefits and rewards package •This role is eligible for Bonus Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!