AD/Lead Consultant- Data Strategy and Operations
Eli Lilly and Company (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Define and operationalize the centralized data and AI strategy for GOSO, focusing on scalable AI/ML workloads including agentic AI across multi-market pharmaceutical commercial data ecosystems.
- Architect and implement AI-ready data foundations and production ML pipelines on AWS/Databricks supporting feature stores, semantic layers, and MLOps across US and International Business Units (IBU).
- Lead, mentor, and develop a small cross-functional team covering data engineering, applied ML, and AI operations with responsibility for stakeholder management and IBU-specific data challenges.
Minimum Requirements
- Bachelor’s degree required; advanced degree preferred, in Computer Science, Engineering, Data Science, AI/ML or related fields.
- 10+ years experience in pharmaceutical commercial data engineering, data platforms, analytics ecosystems, and/or applied AI/ML.
- Hands-on experience with Databricks (Unity Catalog, MLflow, Feature Store), AWS (S3, EC2, RDS, Redshift), SQL, Python (scikit-learn, PyTorch, LangChain/LangGraph).
- Work Experience Required: 10+ years in pharma commercial data/AI roles; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in multi-market International Business Unit (IBU) pharmaceutical commercial operations with knowledge of affiliate data ecosystems, multi-vendor sourcing, and compliance variability.
- Proven ability to architect complex data and agentic AI systems that balance global centralization with local affiliate requirements in a matrixed global environment.
- Demonstrated skills in leading and mentoring small cross-functional teams and driving AI adoption in complex, distributed commercial organizations.