Senior Director–Business Insights & Analytics AI and ML Operations Engineering

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 platform engineering, and orchestration tools

• Proficient in at least one programming package such (Python preferred)

• Experience using common data visualization platforms (e.g., Tableau, PowerBI) and visualization packages and frameworks (e.g., Seaborn, Plotly, Flask, RShiny)

• Broad awareness and working knowledge of advanced analytics areas such ML, NLP, optimization, and Predictive Analytics

• Excellent communication (written & verbal), interpersonal influencing skills and prioritization skills with attention to detail

• Demonstrated ability to influence change with senior stakeholders at the AVP level

• PhD in Computer Science, Statistics, Econometrics, Operations Research, Industrial Engineering, or closely related with 3+ years of experience or Master’s degree in those fields with 6+ years of relevant experience leading an advanced analytical function

• Strong track record of leading global and cross-functional teams to deliver and delivering complex cross functional projects

• Substantial AI / ML experience and understanding of complexities in specialty markets, analytics techniques and US pharmaceutical business

• Experience working with common US healthcare datasets a plus

• Proven ability to rally resources to achieve project and business results

• Proficiency in Excel, Word, and PowerPoint

• Demonstrated ability to enforce business rules and policies in a constructive but disciplined manner

Additional Information:

• 5 - 20% travel depending on business need

• Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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

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.

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