Job Specifications
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.
Organization Overview
At Lilly, we serve an extraordinary purpose. 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.
Senior Director – Business Insights & Analytics (BI&A) – AI and ML Operations Engineering, is responsible for leading AI development and operationalization, ensuring scalable, secure, and efficient deployment of AI and ML solutions for commercialization. This position reports to the Associate Vice President (AVP) of BI&A Data Science.
Responsibilities
Strategic Leadership (30%)
Collaborate with your counterparts across BI&A to develop and execute a unified enterprise AI strategy aligned with business objectives and digital transformation goals
Champion responsible AI practices, ensuring compliance with governance, security, and ethical standards
Develop deep understanding of business goals and challenges, and translate into clear work streams with appropriate methodology and solutions for execution that will meaningfully drive results
Work with your team and across BI&A to present complex concepts and technical processes in an easily digestible format and create organizational buy-in for recommendations
Ensure compliance with data privacy regulations, internal security standards, and best practices; identifying gaps and leading creation of new policies and frameworks where needed
Manage a wide variety of senior stakeholders and junior colleagues as a part of a highly matrixed global organization
Foster innovation by sourcing innovative concepts from internal and external functions
AI and ML Leadership and Capability Building (50%)
Efficiently and effectively lead AI and ML team in US and in partnership with LBI (India based) team
Provide dotted-line supervision and project oversight for LBI teammates, in partnership with LBI Team Leader
Collaborate with BI&A and GCO teams to integrate AI into core business processes, aligning stakeholders on priorities and roadmap
Lead design and implementation of AI solutions, including generative AI and intelligent automation
Partner with data engineering and product teams to ensure seamless integration of AI solutions
Oversee end-to-end ML lifecycle management and provide observability frameworks including drift detection, logging, and automated alerts
Establish robust CI/CD pipelines to ensure reproducibility, security, and performance
Lead team in building scalable ML pipelines and ensure modular, production-ready code and promote best practices in ML engineering across broader data science team
Leverage organizational resources to mentor and educate colleagues to increase AI knowledge and ML knowledge
Team Development (20%)
Influence and be vocal proponent for AI and MLOps headcount needs, ensuring critical Business Plan, Buy Up and Global Business Solutions proposals are developed in accordance with the critical BI&A objectives that require advanced analytics expertise and are aligned with the BI&A resourcing needs to deliver on those objectives
Recruit and hire top talent with the team
Develop a pipeline of advanced analytics talent and contribute to an inclusive community of analytics expert practitioners
Foster an environment that prioritizes the team’s professional and personal development while simultaneously ensuring the team’s overall wellbeing
Participate in and support the team in the technical promotion process
Create a diverse and collaborative team environment that ultimately leads to a highly engaged team and positive team culture
Basic Requirements
PhD or master's in computer science, Statistics, Econometrics, Operations Research, Industrial Engineering, or field of experience of relevant experience leading an advanced analytical function
Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
Additional Preferences
Strong business acumen, and an ability to think strategically in an ambiguous environment
Demonstrated ability to develop and deploy AI solutions across enterprise environments
Strong knowledge of cloud-native architectures, ML frameworks, ML
About the Company
We're a medicine company turning science into healing to make life better for people around the world. It all started nearly 150 years ago with a clear vision from founder Colonel Eli Lilly: "Take what you find here and make it better and better." Harnessing the power of biotechnology, chemistry and genetic medicine, our scientists are urgently advancing science to solve some of the world's most significant health challenges.
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