Associate Director - Data Science (Data Monetization)

wk; India; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Wolters Kluwer is seeking an Associate Director of Data Science and AI Platform Intelligence to drive AI-enabled content intelligence across enterprise platforms. This role emphasizes leveraging data-driven strategies to enhance operational efficiency and strategic decision-making, shaping content to meet regulatory and market needs.

The candidate will lead AI/ML frameworks, partner with product leadership, and mentor teams to deliver scalable, machine-first solutions that strengthen the DnA

Qualifications

• Bachelor's degree or equivalent experience.
• Master's degree preferred for advanced leadership.
• 15+ years in product, engineering, or technical leadership.
• Strong engineering/architecture fluency.
• Systems thinking and scalable AI workflows.

Responsibilities

• Lead the development of intelligent frameworks and architectures that integrate data science, AI, and ML.
• Create cloud-based systems for content classification using AI/ML.
• Oversee governance of content lifecycle with data-driven insights.
• Collaborate with product leadership to embed AI-driven content intelligence.
• Implement AI/ML methods to enrich metadata and content classification.
• Utilize cloud tools to streamline content ingestion, validation, enrichment, and delivery.
• Serve as a liaison between product, data science, engineering, and domain experts.
• Mentor ops support and enablement teams for AI-driven workflows.

Skills

Data science leadership

AI strategy

Product leadership

Cloud architectures

Stakeholder collaboration

Education

Bachelor's degree

Master's degree preferred

Tools

Cloud platforms

AI/ML frameworks

Content management systems

Job description

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 / Affidicative 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.

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.

Prime

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.

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 str