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# Director - Scientific Data Preparedness, Data Foundry

- **Company:** Eli Lilly and Company
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $177,000.0 - $281,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bioinformatics, Computational Biology, Data Architecture, Data Governance, Data Integration, Information Management, Information Sciences, Interoperability, Metadata, Metadata Standards, Information Technology, Enterprise Integration, Data Management
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cc807b1f0505dc5a

## About the Role

* BS or higher degree in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field.
 * Ph.D. with 6+ years, M.S. with 8+ years, or B.S. with 10+ years of relevant experience.
 * Demonstrated experience leading complex scientific data, information management, data integration, or digital transformation initiatives.
 * Demonstrated leadership in defining and delivering AI-ready scientific data products, with hands-on experience applying ontologies, metadata standards, and data governance policies to make data trusted, interoperable, and reusable., * Experience in pharmaceutical, biotechnology, life sciences, or research-intensive environments.
 * Expertise in scientific data management, harmonization, metadata, governance, information architecture, or AI/data readiness.
 * Demonstrated success building, leading, and developing high-performing technical teams.
 * Exceptional leadership, communication, and organizational influence skills.

## Description

We are seeking a Senior Director, Scientific Data Preparedness to lead efforts to strengthen the foundations that enable effective use and reuse of scientific data across scientific workflows. The role will establish strategies and practices for data harmonization, metadata and semantic standards, information flow modeling, AI readiness, and integration with Lilly's enterprise data ecosystem.
As part of Architecture4Insight, this leader will partner closely with Methods4Insight and Scale4Insight and engage broadly across Lilly's scientific and technology organizations to ensure scientific data is prepared to support computational, analytical, and AI-enabled discovery.

This role combines team and capability leadership with hands-on technical engagement and requires a player-coach who can build and develop teams, influence strategy, and drive execution across a complex scientific and technology landscape.

Key Responsibilities

Capability & Team Leadership

 * Build, develop, and coach the team responsible for Scientific Data Preparedness.
 * Establish capability roadmaps, investment priorities, and operating mechanisms.
 * Serve as a senior member of the Architecture4Insight leadership team.

Scientific Data Harmonization

 * Define the strategy for harmonizing scientific data and metadata across Molecular Discovery.
 * Establish standards that improve interoperability, data quality, and reuse.
 * Partner with data architecture and platform teams to enable a consistent scientific information ecosystem.

Information Flow & AI Readiness

 * Define end-to-end information flow models across scientific processes, systems, and data products.
 * Develop frameworks and assessment approaches for scientific data and AI readiness.
 * Identify and prioritize opportunities to improve data accessibility and readiness for AI-enabled use.

Enterprise Integration & Stewardship

 * Shape and advance integration of discovery data assets with Lilly's enterprise data environment.
 * Establish stewardship practices and accountability models for critical scientific information.
 * Partner with enterprise technology and data organizations to align standards, platforms, and governance processes.

Player-Coach Leadership

 * Provide hands-on leadership for strategic Scientific Data Preparedness initiatives.
 * Guide and develop teams and technical leaders through complex scientific data and information challenges.
 * Serve as a trusted advisor to scientific, technical, and business stakeholders.