Eli Lilly and Company
Director / Sr / Exec Dir - Applied Intelligence for Discovery (AI4D)
San Francisco, California · Director · Full-time
Sponsorship not specified$164k-$282kDetected 27 days ago
AWSGCPAzureCloud PlatformsMachine LearningData EngineeringData ScienceMLOpsBioinformaticsResearchLeadership
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 23 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 73%
Of 11 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 476 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
59 transfer filings in the last year, covering 59 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The Executive Director of Applied Intelligence for Discovery (AI4D) will own the technical vision and execution for AI capabilities that enable discovery researchers across therapeutics areas to work in entirely new ways.
- You will partner with senior leaders across the organization to align these capabilities with research priorities, secure the resources to deliver on the vision, and drive adoption that turns platform potential into scientific impact.
- That means building platforms where AI doesn't just accelerate existing workflows but enables fundamentally new ones.
Responsibilities
- Build and lead a multidisciplinary team spanning data science, ML engineering, and scientific software development
- Own the full platform lifecycle - from identifying and integrating new AI capabilities to sunsetting legacy solutions, optimizing for overall portfolio performance as research priorities evolve
- Serve as executive champion for AI capabilities, articulating value to senior partners and influencing resource allocation
- Identify, establish, and manage strategic partnerships with technology providers and research institutions to expand platform capabilities
- Drive adoption of MLOps practices that enable reproducible, automated, and compliant AI development at scale
- Partner with technology and therapeutic area leaders to envision and complete high-impact AI applications and translate research requirements into platform capabilities
- This role exists to drive a specific transformation: from discovery research that is computationally supported to discovery research that is computationally driven.
- We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives.
- Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
- We are building something unprecedented - an AI foundation that will fundamentally change how drug discovery research is conducted.
Requirements
- Bachelors degree, Master's degree or PhD in Computer Science, Data Science, Computational Biology, or related field
- Minimum 15 years experience in AI/ML or data science
- Proven track record driving AI/ML from concept to scaled deployment in complex matrixed organizations
- Deep expertise in modern ML frameworks, MLOps practices, and cloud platforms (AWS/Azure/GCP)
- Demonstrated track record of driving AI/ML capabilities from concept through scaled deployment in complex, matrixed organizations - with evidence of measurable impact on business outcomes, not just model performance
- Ability to translate between scientific research questions and technical solutions
- Experience navigating cross-functional dynamics and influencing without direct authority
- Track record managing external technology partnerships and vendor relationships
- You will define the strategic direction for our AI and data science capabilities, ensuring they deliver measurable research acceleration while maintaining the rigor required in regulated drug development.
Compensation
- $164k-$282k
Benefits
- Set technical vision and roadmap for AI/ML platforms serving discovery research, aligning capabilities with enterprise priorities
Company info
- Organization Overview At Lilly, we serve an extraordinary purpose.
- At Lilly, we serve an extraordinary purpose.
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This listing is sourced directly from Eli Lilly and Company's careers page and normalized into a canonical job model.