Director Data Science & AI iLabs, DDIT

Key Responsibilities :

• AI Product Leadership  : Define and execute the product strategy for AI / GenAI-powered solutions across commercial domains including field force effectiveness, omnichannel engagement, patient services, content enablement, and intelligent automation.
• Data Science Integration  : Partner with data scientists to translate models (e.g., LLMs, NLP, machine learning) into scalable, user-centric products. Ensure rigorous data-driven experimentation, evaluation, and optimization.
• Team & Talent Development  : Build, lead, and mentor a global team of product managers, technologists, and AI specialists. Foster a high-performance culture grounded in innovation, agility, and continuous learning.
• Innovation Pipeline Ownership  : Identify and incubate high-value AI / GenAI opportunities. Run rapid prototyping, lead pilots, and drive industrial-scale adoption across countries and business units.
• Cross-Functional Collaboration  : Work closely with engineering, architecture, commercial strategy, field teams, and legal / compliance to ensure delivery of robust, secure, and compliant AI solutions.
• Business Impact & Adoption  : Define success metrics, drive adoption, and measure ROI of AI products. Ensure solutions deliver clear, data-validated value across markets and therapeutic areas.
• Technology Thought Leadership  : Act as an internal and external champion for responsible AI innovation in pharma. Stay at the cutting edge of GenAI tools, open-source models, and emerging frameworks

Essential Requirements :

Desirable Requirements :

Skills Desired

Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (Ml), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis

Skills Required

Cloud Computing, Data Quality, Time Series Analysis, R Programing