Associate Vice President – Architecture, Data Foundry
Eli Lilly and Company
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • Colorado • United States
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Salary
💰 $259,500 - $380,600 per year
About the role
- Lead the Architecture4Insight team, including data architects, data engineers, scientific software developers, and data integration specialists.
- Define and implement the enterprise data architecture strategy for small molecule discovery, ensuring data is FAIR (Findable, Accessible, Interoperable, Reusable) and AI/ML-ready.
- Establish and own critical architectural components: ontologies, schema design, metadata frameworks, controlled vocabularies, and data models for chemical, biological, and automation-generated data.
- Lead strategy for evolving data capture systems (LIMS, ELNs, instrumentation integration) to support AI-native discovery workflows with real-time, machine-actionable data.
- Lead a scientific software engineering team that rapidly prototypes custom applications, workflow tools, and interfaces to support discovery scientists’ evolving needs.
- Collaborate closely with Methods4Insight, Automation & Scale4Insight, and Preparedness4Insight to ensure Architecture4Insight serves as the enabling foundation across all Data Foundry pillars.
- Establish and maintain a clear operating model with Tech@Lilly defining roles, responsibilities, and handoff criteria for transitioning prototypes to production-grade enterprise systems.
- Partner with the Frontier AI team to ensure data infrastructure and APIs robustly support autonomous agent workflows and laboratory automation control.
- Champion a culture of data quality, integrity, and continuous improvement across all systems and workflows.
- Build and develop a world-class team, fostering innovation, technical excellence, and career development.
Requirements
- Bachelor degree in Computer Science, Bioinformatics, Data Science, Biomedical Engineering, or related STEM field
- 15+ years of progressive experience in data architecture, scientific software development, or research informatics, with significant pharma/biotech industry experience.
- Experience deploying AI/ML solutions or supporting AI agent workflows in a discovery or research setting.
- Experience building or implementing LIMS, ELN, or enterprise data ecosystems in biotech/pharma.
- Demonstrated success leading large, multidisciplinary teams in a matrixed, global organization.
- Deep expertise in data modeling, data governance frameworks, FAIR principles, metadata management, and modern data integration patterns.
- Proven ability to translate scientific needs into data and informatics strategies.
- Strong communication and collaboration skills across scientific, technical, and executive stakeholders.
- Track record of driving innovation in data infrastructure and enabling new scientific capabilities.
- Strategic thinking with demonstrated ability to balance long-term architecture vision with pragmatic, iterative delivery.
Benefits
- eligibility to participate in a company-sponsored 401(k)
- pension
- vacation benefits
- eligibility for medical, dental, vision and prescription drug benefits
- flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- life insurance and death benefits
- certain time off and leave of absence benefits
- well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturescientific software developmentdata modelingdata governance frameworksmetadata managementAI/ML solutionsdata integration patternsLIMSELNenterprise data ecosystems
Soft Skills
leadershipcommunicationcollaborationstrategic thinkinginnovationteam developmenttechnical excellencecontinuous improvementproblem-solvingstakeholder engagement