Mobile & Conversational Messaging Product Lead at Zeta Global. Responsible for defining and scaling strategy across SMS, WhatsApp, and Mobile Push while leading platform development.
About the role
- 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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