Senior Director of Cloud Platforms managing technical architecture and platform engineering for Data Foundry at Lilly. Driving innovation in cloud-native infrastructure for accelerated molecule discovery.
Responsibilities
Lead the design and operation of Data Foundry’s cloud-native infrastructure (AWS, Azure, and/or GCP)
Partner closely with the Frontier AI group to build agent-ready infrastructure
Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars
Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL)
Build data access and integration layers providing unified interfaces to diverse data sources
Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures
Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems
Build, mentor, and help develop a high-performing platform engineering team
Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy.
Requirements
MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software
6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry
Proven track record leading platform engineering or infrastructure teams (6–10+ professionals) delivering production systems
Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security
Strong software engineering skills with experience in multiple programming languages and modern development practices
Experience building APIs, microservices, and integration layers for complex scientific or technical systems
Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions
Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders
Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically
Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration
Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines
Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics
Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns
Track record of founding or building platforms from ground up, not just maintaining existing systems
Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts
Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams
Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.
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)
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