Senior Consultant - Data Spine

Overview

Senior Consultant for Data Spine at Eli Lilly and Company's GOSO organization, serving as the functional–technical specialist who ensures accurate implementation, operational stability, and ongoing performance of Data Spine-driven analytics, automations, and AI-enabled workflows.

What you'll do

• Act as the functional–technical translator for IC, SFO, DT, IBU, and Medical teams, ensuring business logic is accurately implemented in GOSO Data Ecosystem and downstream analytical systems.
• Design and review scalable AWS/Databricks pipelines, metadata flows, and integration logic, enabling high-quality data for AI enablement and commercial analytics.
• Lead end-to-end AI/Data Operations, including pipeline monitoring, anomaly detection, data drift checks, validation cycles, and production execution to ensure reliable delivery of AI-enabled insights.
• Conduct detailed testing and quality assurance across Data Spine layers to ensure accuracy, stability, and alignment with commercial business rules.
• Troubleshoot and resolve operational issues across upstream and downstream systems, partnering with T@L and GOSO stakeholders to accelerate defect resolution and improve run stability.
• Strengthen data governance and operational excellence by enhancing lineage, metadata, DQ rules, monitoring frameworks, and standardized operating processes.
• Apply knowledge of pharma commercial data (HCP/HCO, sales, targeting, incentives, SFO processes) to ensure technical outputs meet business expectations and drive adoption.
• Coordinate across US–India teams for aligned delivery, SLA adherence, and milestone execution.
• Manage communication and expectations with functional partners, ensuring transparency on issues, timelines, and solution outcomes.

What you'll need

• Bachelor's degree in computer science, Engineering, Data/Analytics, or related field with 6+ years of experience.
• Strong proficiency in SQL and Python for data validation, debugging, and analysis.
• Hands-on experience with AWS, Databricks, ETL pipelines, Delta Lake, and Lakehouse architectures.
• Demonstrated experience in AI/ML development and operations, including model input validation, data drift monitoring, and ensuring data readiness for AI systems.
• Experience in data testing, scenario validation, anomaly detection, and complex logic implementation.
• Ability to translate functional business logic into scalable technical build requirements.
• Excellent communication skills with the ability to work across teams and manage stakeholders effectively.

Nice to have

• Understanding of pharmaceutical commercial data (HCP/HCO, sales, targeting, IC datasets, call/activity data).
• Experience supporting production systems or operational data processes.

Details

• Location: India, Bengaluru.