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:

10+ years of experience in product management, digital transformation, or AI innovation, with at least 3-5 years leading AI/ML or GenAI products at scale
Strong applied experience with machine learning, large language models (LLMs), NLP, vector search, and prompt engineering
Proven ability to partner with data science and engineering to design, validate, and deploy AI solutions
Innovation mindset to drive experiments and evaluate go/no go decision for PoCs
Solid understanding of pharma commercial operations, including CRM platforms, omnichannel engagement, field force tech, and analytics
Demonstrated success in building and leading high-performing product teams across geographies and functions
Strong storytelling, stakeholder management, and executive communication skills
Bachelor s degree in computer science, Data Science, Engineering, or a related technical field; Master s, MBA, or PhD is a plus

Desirable Requirements:

Applied Mathematics.
Artificial Intelligence (AI).
Aws (Amazon Web Services).
Data Science
Python (Programming Language).
R (Programming Language).
Random Forest Algorithm.
Statistical Analysis.
Time Series Analysis

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

Director Data Science & AI iLabs, DDIT