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WO
Wolters Kluwer

Associate Director - Data Science (Data Monetization)

LocationIND-Pune-Smartworks
Work modehybrid
Typefull-time
SeniorityDirector
Experience15+ yrs
Company size10,000+ people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have5
Bachelor's degree from an accredited college/university or equivalent working experience
15+ years in product, engineering, or technical leadership
Superior engineering/architecture fluency
Systems thinking and ability to scale product quality in AI Driven workflows
Exceptional abilities in operating and managing complex/matrix team structures
Nice to have1
Master's degree from an accredited college or university preferred
Skills
Python
React
AWS
PostgreSQL
AI
ML
cloud
About the company
ABOUT WOLTERS KLUWER Wolters Kluwer N.V. (AEX: WKL) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Wolters Kluwer reported 2023 annual revenues of €5.6 billion. The company, headquartered in Alphen aan den Rijn, the Netherlands, serves customers in over 180 countries, maintains operations in over 40 countries and employs 23,000+ people worldwide. Wolters Kluwer shares are listed on Euronext Amsterdam (WKL) and are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY). For more information about our solutions and organization, visit www.wolterskluwer.com, follow us on Twitter, Facebook, LinkedIn, and YouTube. EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions, and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
About the role
Job Description:
Associate Director (Data Science and AI Platform Intelligence) Financial & Corporate Compliance (FCC) is a division of Wolters Kluwer that provides a broad spectrum of solutions, services and expertise to legal, finance, risk and compliance professionals and small business owners to help manage myriad governance, risk and compliance challenges in dynamic markets and regulatory environments, globally. FCC Solutions serves more than 350,000 customers in more than 150 countries, including 70% of Fortune 500 companies, 92% of the world’s top banks, 90% of the Am Law 100 and more than 300,000 small businesses. The division has a global footprint, with workforce in 28 countries. Our clients include corporate legal departments, insurers, small businesses, financial services companies, brand professionals, underwriters, governments and compliance and risk professionals Role: Associate Director – Data Science and AI Platform Intelligence is responsible for ensuring the delivery, quality, and impact of data science, analytics, and AI capabilities across diverse products and platforms. This role emphasizes leveraging data-driven strategies to enhance operational efficiency, inform strategic decision-making, and position the Data and Analytics (DnA) organization for sustained growth and competitive advantage. We are looking for an AI leader to drive Platform Intelligence and AI-enabled structured data capabilities across enterprise platforms. This role sits at the intersection of Data Science, Product Management, and Domain Intelligence, responsible for shaping content to transform regulatory, customer, and market requirements into scalable, machine-first solutions that drive innovation and excellence across the organization. Primary
Responsibilities
Accountabilities:
•Lead the development of intelligent frameworks and architectures that integrate data science, AI, and ML, enhancing overall product capabilities.
•Create advanced, cloud-based systems for classifying content using AI/ML techniques, improving discoverability and standardization across products.
•Oversee governance of the content lifecycle, ensuring consistency and mapping integrity across platforms through data-driven insights.
•Collaborate with product leadership to embed AI-driven content intelligence into the product roadmap and align it with business objectives.
•Implement AI and ML methods for enriching metadata and improving content classification, transforming raw data into actionable insights.
•Utilize cloud-based tools to streamline workflows for content ingestion, validation, enrichment, and delivery, ensuring scalability and efficiency.
•Serve as a strategic liaison between product teams, data science, engineering, and domain experts to align technical execution with business goals.
•Develop and apply agentic AI frameworks that empower autonomous decision-making within products, enhancing user engagement and experience.
•Mentor and lead ops support and enablement teams, fostering skills in product design, structured content modeling, and the execution of AI-driven workflows for high-quality outcomes for DnA organization.
Requirements
Qualifications:
• Bachelor’s degree from an accredited college/university or equivalent working experience.
• Master’s degree from an accredited college or university preferred
• 15+ years in product, engineering, or technical leadership
• Superior engineering/architecture fluency
• Systems thinking and ability to scale product quality in AI Driven workflows
• Exceptional abilities in operating and managing complex/matrix team structures
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.
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