Advisor - Data Strategy and Orchestration - Lilly Medicine Foundry

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.

The Data Strategy & Data Orchestration Leader is a principal-level technical expert responsible for researching, designing, and implementing innovative data architectures and methodologies that position the Medicine Foundry as a leader in pharmaceutical data management. This role will develop novel approaches to data infrastructure, advance the state-of-the-art in pharmaceutical data technologies, and apply deep technical expertise to solve complex data challenges across the digital plant ecosystem.

The Data Strategy & Data Orchestration Leader will pioneer modern solutions including data fabric architectures, real-time streaming platforms, ML-ready data infrastructures, and innovative data governance frameworks that balance regulatory compliance with operational agility.

As a technical leader and innovator, this role collaborates as a peer expert with Tech@Lilly architects, partners with external research institutions and industry leaders, and applies specialized data architecture expertise to enable the Medicine Foundry's vision of automated, paperless, and fully integrated operations.

In the Project Delivery Phase and Startup Phase of the project (2025 To 2028), roles will be fluid and dynamic as we endeavor to support the project delivery, build a new organization, develop and implement the necessary systems and business processes required to support GMP operations and build the site culture. This will require significant collaboration, creativity and resilience as the Lilly Medicines Foundry goes from design, to start-up, and to steady-state operations.

• Research, design, and implement novel data architecture approaches for pharmaceutical manufacturing that advance industry capabilities, including data mesh architectures, data fabric platforms, real-time streaming solutions, and cloud‑native data services.
• Develop innovative technical solutions for ML‑ready data infrastructures including feature stores, MLOps platforms, model registries, experiment tracking systems, and automated ML pipeline orchestration that enable advanced analytics and AI applications.
• Design and implement advanced data platforms employing modern technologies including lake houses (Databricks, Snowflake), distributed processing (Spark, Dask), streaming architectures (Kafka, Pulsar), and cloud‑native services for scalable, high‑performance data infrastructure.
• Collaborate with Tech@Lilly principal architects and engineers as a technical peer expert to design enterprise data architecture, evaluate emerging data technologies, and make platform decisions that balance innovation with operational requirements.
• Partner with the Augmented Intelligence Leader to build technical infrastructure enabling AI/ML innovation through proper data preparation, feature engineering capabilities, model governance frameworks, and responsible AI implementation.
• Develop innovative data governance frameworks and technical solutions that achieve cGMP compliance (21 CFR Part 11, EU Annex 11, ALCOA+) while enabling agility, including automated data quality monitoring, intelligent validation, and real‑time audit trails.
• Drive research collaborations with academic institutions, industry consortia, and technology partners to explore emerging data management methodologies and establish thought leadership that positions Medicine Foundry as a leader in pharmaceutical data innovation.
• Design novel approaches to data democratization and self‑service analytics in regulated environments, including semantic layers, knowledge graphs, automated metadata management, and…