Strategic Leadership & Vision. Develop and implement comprehensive Medical Affairs Analytics Product strategy using a product-first approach aligned with BI&A and Agentic AI goals. Direct the Medical Affairs analytics product portfolio with end-to-end accountability for insights that accelerate delivery of medical solutions and close clinical care gaps. Champion Agentic AI transformation as a strategic differentiator, positioning Lilly as an industry leader in autonomous Medical Affairs analytics. Develop multi-year product roadmaps balancing AI innovation with regulatory compliance, scientific rigor, and business value. Participate in strategy development and future-state visioning across BI&A product teams. Partner with Medical Affairs leadership to identify high-impact opportunities where AI-driven insights influence critical decisions. Translate complex AI capabilities into compelling value propositions for global Medical Affairs participants. AI-Ready Data Foundation & Agentic AI Deployment. Provide strategic leadership on Agentic AI work through close partnership across BI&A functions (Data Engineering, Data Science, Privacy, BU Integration teams, etc) to build a consistent, aligned AI data foundation. Build AI-ready data infrastructure ensuring data quality, lineage, policy as code, governance, and real-time accessibility across RWE, clinical trials, publications, HCP engagement, and medical operations data. Develop comprehensive semantic layers that translate complex medical data into unified business logic, enabling scalable self-service analytics globally. Ensure common and consistent rules and methodology across functions and teams to remove duplication and/or differences at the semantic layer. Partner with Data Science to architect and deploy AI agents that autonomously generate insights, answer medical queries, accelerate evidence synthesis, and enhance decision speed. Recommend and implement policy-as-code frameworks to automate governance, carry out regulatory compliance, and embed ethical AI principles. Drive Agentic AI integration into performance dashboards to improve ease of insight identification and reduce time from data to decision. Create fast, efficient intelligence pipelines delivering insights at the speed required for driven launch excellence. Product Delivery & Business Impact. Ensure your team delivers scalable, AI-enabled products that solve business problems and are supported by solid evidence grounded in analytics. Improve scalable analytical tools and capabilities across global Medical Affairs solutions to enable strategic investment decisions and optimize resource allocation for maximum patient impact. Drive adoption and transformation of BI&A product approach to achieve marked capacity savings, redeploying analytics talent from routine reporting to high-value AI-enabled work. Ensure enablement through data and analytics products for enhanced, comprehensive customer identification—improving ability to identify, segment, and engage the right HCPs to ensure Medical Education is optimized to improve patient outcomes. Support scaling of innovation readiness data, analytics, and measurement for breakthrough therapies in high-priority therapeutic areas. Implement agile product delivery methodologies (Jira, SAFe)—establishing a consistent planning and prioritization framework that improves transparency, productivity, and focus on highest-value work you're doing. Develop and track success metrics demonstrating tangible business outcomes, decision influence, tool adoption, and collaborator impact. Collaborator Partnership & Change Leadership. Cultivate trusted advisor relationships with Medical Affairs leadership globally, translating scientific questions into AI-powered analytics solutions with measurable impact. Ensure adoption through active tool usage where stakeholders quote the specific impact BI&A delivers—establishing clear lines from insights to decisions to outcomes. Communicate sophisticated AI concepts (autonomous agents, semantic modeling, policy-as-code) to medical, scientific, and executive audiences, building AI literacy and confidence. Champion change management strategies that drive behavioral adoption, not just tool deployment. Establish feedback loops with business partners to continuously refine products based on real-world usage. Be a champion for challenging the status quo and driving solutions that help Lilly reach its acceleration, reach, and scale goals. Team Leadership & Culture. Develop a pipeline of analytics talent and contribute to an inclusive community through recruiting, training, coaching, and retaining. Create a culture of continuous learning and actively support team upskilling in emerging AI technologies (LL - Ms, agent frameworks, ML - Ops), medical domain knowledge, agile product management, and leadership. Ensure effective prioritization and celebrate when work is appropriately stopped—modeling disciplined resource allocation and strategic focus. Continue to integrate Agile ways of working, implementing modern product management practices (OK - Rs, sprint planning, retrospectives) that empower teams. Foster analytics innovation within and across teams. Champion a learning mindset where experimentation, intelligent failure, and iteration are valued. Partner closely across geographies (including Lilly Bengaluru) to ensure all teams work as one toward deliverables. Provide leadership, technical guidance, developmental support, and career planning for teams and individuals. Basic Qualifications. Bachelor's degree with 6 years of relevant analytical experience OR advanced degree with 3 years of relevant experience. Quantitative background in engineering, statistics, mathematics, sciences, finance, computer science, business analytics, economics, technology, or related field. 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-1 B, TN, O-1, E-3, H-1 B 1, or L-1. Additional Preferred Qualifications. Strong analytical skills coupled with business discernment and ability to think strategically in ambiguous environments. Solid understanding of statistical programming packages (R, SAS, Python, MATLAB) and predictive models (a plus)Experience using data visualization platforms (Tableau, Power BI)Proficiency in Excel, Word, and PowerPoint. Demonstrated ability to communicate analytics concepts and influence change with diverse business collaborators. Superb communication (written & verbal), interpersonal influencing, and prioritization skills with attention to detail. Ability to work across teams and build Team Lilly culture. MBA or other advanced degree. Consistent track record of leading multi-functional teams and delivering complex projects. Substantial analytics experience and understanding of complexities in retail/specialty markets, analytics techniques, and global pharmaceutical business. Substantial experience with pharmaceutical data and understanding of data landscape complexities. Broad awareness and working knowledge of advanced analytics areas (AI, ML, NLP, Predictive Analytics)Experience managing and scaling technical teams in enterprise environments, preferably with international or multi-business unit scope. Demonstrated success deploying production AI/ ML systems that measurably accelerate business outcomes. Proven experience with semantic modeling, knowledge graphs, ontology development, or master data management in healthcare contexts. Strong understanding of Agentic AI architectures, large language model applications, and autonomous system designdditional information 5 - 20% travel depending on business need. 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 ( 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.