Associate Vice President - Applied Intelligence for Discovery (AI4D)
Company: Eli Lilly and Company
Location: San Francisco
Posted on: March 11, 2026
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Job Description:
At Lilly, we unite caring with discovery to make life better for
people around the world. We are a global healthcare leader
headquartered in Indianapolis, Indiana. Our employees around the
world work to discover and bring life-changing medicines to those
who need them, improve the understanding and management of disease,
and give back to our communities through philanthropy and
volunteerism. We give our best effort to our work, and we put
people first. We’re looking for people who are determined to make
life better for people around the world. The Opportunity We are
building something unprecedented — an AI foundation that will
fundamentally change how drug discovery research is conducted. The
Associate Vice President 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. 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. This role exists to drive a specific transformation:
from discovery research that is computationally supported to
discovery research that is computationally driven. That means
building platforms where AI doesn’t just accelerate existing
workflows but enables fundamentally new ones. Key Responsibilities
Build and lead a multidisciplinary team spanning data science, ML
engineering, and scientific software development Set technical
vision and roadmap for AI/ML platforms serving discovery research,
aligning capabilities with enterprise priorities 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 Guide
architecture decisions for end-to-end ML workflows: data pipelines,
feature engineering, model development, deployment, and monitoring
Serve as executive champion for AI capabilities, articulating value
to senior stakeholders 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 execute on high-impact AI applications and translate research
requirements into platform capabilities Work across organizational
boundaries in a complex matrixed environment to align platform
strategy with scientific priorities Qualifications Advanced degree
(MS/PhD) in Computer Science, Data Science, Computational Biology,
or related field 10 years experience in AI/ML or data science, with
5 years leading teams Additional Skills/Preferences 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
Experience in pharmaceutical, life sciences, or healthcare
industries Track record managing external technology partnerships
and vendor relationships Platform architecture background — you
think in systems and portfolios, not features and projects Lilly is
dedicated to helping individuals with disabilities to actively
engage in the workforce, ensuring equal opportunities when vying
for positions. If you require accommodation to submit a resume for
a position at Lilly, please complete the accommodation request form
( https://careers.lilly.com/us/en/workplace-accommodation ) for
further assistance. Please note this is for individuals to request
an accommodation as part of the application process and any other
correspondence will not receive a response. Lilly is proud to be an
EEO Employer and does not discriminate on the basis of age, race,
color, religion, gender identity, sex, gender expression, sexual
orientation, genetic information, ancestry, national origin,
protected veteran status, disability, or any other legally
protected status. Our employee resource groups (ERGs) offer strong
support networks for their members and are open to all employees.
Our current groups include: Africa, Middle East, Central Asia
Network, Black Employees at Lilly, Chinese Culture Network,
Japanese International Leadership Network (JILN), Lilly India
Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ
Allies), Veterans Leadership Network (VLN), Women’s Initiative for
Leading at Lilly (WILL), enAble (for people with disabilities).
Learn more about all of our groups. Actual compensation will depend
on a candidate’s education, experience, skills, and geographic
location. The anticipated wage for this position is $235,500 -
$378,400 Full-time equivalent employees also will be eligible for a
company bonus (depending, in part, on company and individual
performance). In addition, Lilly offers a comprehensive benefit
program to eligible employees, including 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; and
well-being benefits (e.g., employee assistance program, fitness
benefits, and employee clubs and activities).Lilly reserves the
right to amend, modify, or terminate its compensation and benefit
programs in its sole discretion and Lilly’s compensation practices
and guidelines will apply regarding the details of any promotion or
transfer of Lilly employees. WeAreLilly
Keywords: Eli Lilly and Company, Davis , Associate Vice President - Applied Intelligence for Discovery (AI4D), IT / Software / Systems , San Francisco, California