Senior Consultant - Data Spine

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 Summary

As GOSO scales its AI and data operations, this role serves as the hands-on functional–technical specialist responsible for ensuring accurate implementation, operational stability, and ongoing performance of all Data Spine–driven analytics, automations, and AI-enabled workflows.

The role bridges business logic and technical execution across global and local teams, strengthening Data Spine operations, AI Ops rigor, and cross-functional delivery

Key Responsibilities

• 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 & 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 deep 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
  
  
  

Expected Business Outcomes

• Higher trust and accuracy in GOSO insights through precise implementation of business logic across GOSO AI Programs and other data engineering related work
• Accelerated delivery cycles driven by reduced business–tech handoff gaps and better-quality upstream requirements.
• Improved stability of Data Spine and AI-driven analytics due to strengthened validation, monitoring, and operational support.
• Reduced operational disruption and faster delivery of insights across markets, improving adoption of GOSO’s data and analytics solutions
• Excellent communication skills with the ability to work across teams and manage stakeholders effectively
  
  
  

Basic Qualifications / Technical Skills

• 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 & 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.
• Understanding of pharmaceutical commercial data (HCP/HCO, sales, targeting, IC datasets, call/activity data preferred).
• Ability to translate functional business logic into scalable technical build requirements
  
  
  

Additional Skills / Preferences

• Strong analytical, troubleshooting, and problem-solving abilities.
• Experience supporting production systems or operational data processes.
• Ability to work independently while collaborating effectively with cross-functional stakeholders.
• High learning agility and ability to handle multiple priorities
  
  
  

Equal Opportunity Employer

• Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, gender, protected veteran status, disability, or any other legally protected status
  
  
  

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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