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.
AI-Powered Business Intelligence is a P5 senior leadership role within Lilly's BI&A Data Engineering organization. This individual will architect and drive the transformation of Lilly's enterprise business intelligence practice from traditional, static dashboard delivery toward an intelligent, insightful framework - anchored by the AI-BI initiative and the next-generation evolution of Dashboard Central.
This leader will serve as the strategic and technical authority for how the organization discovers, surfaces, and delivers AI-generated insight at scale. The role requires equal command of people leadership, AI/ML product strategy, data engineering, and executive stakeholder engagement.
Key Responsibilities:
AI-BI Strategy & Transformation (40%)
Lead the end-to-end product vision and roadmap for the AI-BI program, trans
forming Dashboard Central from a passive reporting tool into an active, intelligence-generating platform.
Define the architectural north star for moving from curated dashboards to proactive, AI-surfaced insight delivery - including natural language querying, automated anomaly detection, predictive analytics, and narrative generation.
Partner with the BI&A Data Engineering leadership team to align the AI-BI roadmap with Lilly's broader AI-ready data strategy, personalization capabilities, and agentic AI initiatives.
Establish frameworks for intelligence layer design - including semantic layer standards, insight ontology, and LLM-augmented analytics patterns - applicable across the enterprise.
Lead business capability assessments with commercial, medical, and functional partners to identify and prioritize high-value use cases for intelligence-based insight.
Team Leadership & Organizational Development (30%)
Lead a distributed product team, providing technical direction, coaching, and career development to engineers, data scientists, and BI practitioners.
Collaborate closely with global delivery center leadership to align offshore and onshore capacity with AI-BI program objectives, ensuring engineering resources are effectively planned and leveraged.
Build a high-performing team culture that values engineering rigor, user emotional intelligence, and continuous learning in a rapidly evolving AI landscape.
Lead the upskilling of the team on co-agency - the human+agent collaborative development model - bringing to bear Claude Code and agentic AI tooling to fundamentally transform how the team builds, tests, and ships data and analytics capabilities.
Define hiring profiles, manage performance expectations, and strengthen team capability in areas of GenAI, NLP, prompt engineering, and intelligent analytics.
Serve as a senior voice for the BI&A engineering community, supplying to guild leadership, community of practice, and knowledge-sharing initiatives.
Platform Delivery & Engineering Oversight (20%)
Oversee the design, development, and deployment of AI-BI capabilities within the Dashboard Central platform, including integration with Databricks, cloud data services, and Lilly's AI infrastructure.
Ensure delivery quality through engineering standard methodologies: CI/CD, data quality frameworks, model observability, and robust testing for AI-generated outputs.
Drive adoption of the Databricks and LLM-powered insight generation patterns established by the BI&A engineering organization.
Define and operationalize deployment and engagement patterns across the full delivery stack - Databricks for data services, Microsoft Power BI for governed visualization, Microsoft Teams for embedded insight delivery, and Lilly React applications for custom interactive experiences.
Partner with Tech@Lilly and platform engineering teams to ensure infrastructure readiness, data availability, and scalable deployment of AI-BI features.
Stakeholder & Executive Engagement (10%)
Communicate AI-BI vision, progress, and outcomes to senior Lilly leadership with clarity and business impact framing.
Represent the AI-BI program in multi-functional forums including commercial, IT governance, legal/compliance, and data strategy councils.
Develop cases, investment proposals, and executive presentations that connect AI-BI capabilities to Lilly's strategic priorities.
Basic qualifications
Bachelors Degree in a STEM degree (Computer Science, Data Science, Engineering, Statistics, or related quantitative subject area) preferred; equivalent professional experience will be considered in lieu of a formal degree.
5+ years of experience in data engineering, analytics, or business intelligence, including demonstrated senior technical leadership or people management responsibility.
Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.
Strongly Preferred qualifications
Demonstrated experience designing and delivering AI/ML or GenAI-powered analytics products in a large enterprise environment.
Proficiency with Databricks and the Microsoft data and analytics stack (Azure, Power BI, Microsoft Fabric, Microsoft Teams); experience with cloud-native data architectures required.
Validated ability to lead multi-functional engineering teams and drive alignment across business, technology, and data collaborators.
Strong executive communication and influence skills - ability to translate complex technical concepts for senior business audiences.
Experience with LLM integration, retrieval-augmented generation (RAG), agentic AI development patterns, and natural language interfaces applied to data and analytics.
Additional preferences
Experience in pharmaceutical, life sciences, or regulated industry environments.
Familiarity with Experience building and deploying analytics or data products within a React-based frontend ecosystem, including integration with enterprise data platforms.
Hands-on experience with agentic AI frameworks, including multi-step orchestration, tool-use patterns, and agent observability.
Background in semantic layer technologies (e.g., dbt, Cube.dev, Databricks AI/BI Genie, Microsoft Fabric, PBI) and data mesh architectural patterns.
Experience with BI tools including Tableau, Power BI, or comparable platforms - and a track record of driving tool modernization.
Comfort operating in a matrixed, fast-moving organization with high ambiguity and competing priorities.
Demonstrated experience building communities of practice, internal standards bodies, or engineering guilds.
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
$154,500 - $226,600
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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