Senior Data Product Scientist, CMC AI & Data Platforms

Eli Lilly and Company; Indianapolis (IN); On-site; USD 126,000 - 244,200; Full time

Benefits offered by this job

Comprehensive benefit program

401(k) and pension options

Flexible benefits and wellness programs

Job summary

A global healthcare leader in Indianapolis is seeking a skilled Data Product Manager to drive the development of innovative, AI-ready data products. The ideal candidate will have a Master's degree in a relevant field and at least 8 years of product management experience. Key responsibilities include defining the roadmap for data products, ensuring compliance with data management frameworks, and collaborating with cross-functional teams. An excellent opportunity to influence the future of data in healthcare and make impactful contributions to patient outcomes.

Qualifications

• 8+ years of product management experience in scientific data systems.
• Strong grasp of modern data architecture patterns.
• Knowledge of pharmaceutical manufacturing processes is essential.

Responsibilities

• Define the roadmap for AI-ready data products.
• Implement data management frameworks for compliance.
• Collaborate across functions to standardize data products.

Skills

Product management experience focused on data products

Knowledge of modern data-stack technologies

Proficiency with SQL and Python

Experience with analytical instrumentation

Expertise in data modelling

Education

Master's degree in Computer Science or related field

Tools

Microsoft Fabric

Databricks

Airflow

Job description

A global healthcare leader in Indianapolis is seeking a skilled Data Product Manager to drive the development of innovative, AI-ready data products. The ideal candidate will have a Master's degree in a relevant field and at least 8 years of product management experience. Key responsibilities include defining the roadmap for data products, ensuring compliance with data management frameworks, and collaborating with cross-functional teams. An excellent opportunity to influence the future of data in healthcare and make impactful contributions to patient outcomes.