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Lead Consultant - Data Spine
Job in
Indianapolis, Hamilton County, Indiana, 46262, USA
Listed on 2025-12-18
Listing for:
Eli Lilly and Company
Full Time
position Listed on 2025-12-18
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer
Job Description & How to Apply Below
Lead Consultant - Data Spine page is loaded## Lead Consultant - Data Spinelocations:
India, Bengalurutime type:
Full time posted on:
Posted Yesterday job requisition :
R-97905
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.
We’re looking for people who are determined to make life better for people around the world.
Position: GOSO Data Strategy & Governance Lead Company Overview At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees work to discover and bring life-changing medicines to those who need them, improve disease management, and give back to our communities through philanthropy and volunteerism.
We bring our best to our work—and we put people first. We’re looking for individuals who are determined to make life better for people around the world.
Responsibilities The GOSO Data Strategy & Governance Lead will report to the GOSO Data Spine Associate Director and will play a critical role in defining and operationalizing GOSO’s centralized data strategy. This role will ensure strong governance, enable One Data Spine expansion, and support high-quality, trusted data for downstream analytics, insights, and AI-driven capabilities across GOSO.This role will also lead and mentor a small team, providing coaching, guidance, and skill development to strengthen the overall Data Spine organization.
Key Accountabilities
* Define and operationalize the GOSO-wide data strategy in partnership with Tech@Lilly, GOSO Functional Team (SFO, IC, DT, IBU, Medical) ensuring GOSO Data Platform supports all major GOSO data operational programs
* Establish and enforce data governance standards (quality rules, lineage, metadata, access controls) to reduce data silos and ensure consistent, high-integrity data across functions.
* Translate functional and business requirements into scalable, governed Data Spine implementations that support cross-functional analytics and insight-generation.
* Build and maintain AI-ready, governed data structures on AWS/Databricks to improve data consistency, availability, and readiness for advanced analytics.
* Serve as the primary point of contact for T@L on all data-related/tech initiatives, ensuring aligned priorities, transparent execution, and unified roadmap planning.
* Strengthen stakeholder alignment across GOSO Functions, T@L, and Enterprise Data teams to ensure predictable onboarding of new processes, tools, and data assets into GOSO Data Ecosystem.
* Identify opportunities to enhance data quality, streamline governance workflows, and reduce manual interventions through standardization and automation.
* Develop, mentor, and coach a small team of analysts/engineers, ensuring capability development, role clarity, and succession readiness.
Expected Business Outcomes
* Delivery of high-integrity, well-governed data that supports consistent analyses across IC, SFO, DT, IBU, Medical, and other functional teams.
* Increased readiness and availability of standardized datasets required for advanced analytics and automation initiatives.
* Significant reduction in manual operational effort through governance-led centralization, improved mastering, and process simplification.
* Strong cross-team alignment between GOSO Functional teams, T@L, and Enterprise team, enabling smoother One Data Spine expansion and more predictable project delivery
Basic Qualifications / Technical Skills
* Bachelor’s Degree (preferably in Computer Science, Engineering, Data /AI related fields).
* 10+ years of experience in pharmaceutical commercial data engineering, data platforms and analytics ecosystem
* Strong understanding of data management, data governance, and cloud-based data architectures and…
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