Associate Director, Digital Knowledge Management & Data Strategy - SDnA

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.  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. Associate Director, Digital Knowledge Management & Data Strategy - Statistics, Data & Analytics Position Overview We are seeking an experienced Knowledge Management (KM) professional to lead data and knowledge initiatives within our global Statistics, Data & Analytics (SDnA) organization. This role will design and implement forward-thinking systems to collect, organize, and connect technical knowledge across functions, regions, and clinical development stages. It will also transform fragmented process documentation, procedures, and historical knowledge into a structured, searchable, dynamic knowledge repository with supporting systems and processes. Ultimately, this position will enhance efficiency, strengthen consistency, and reduce risk by making critical knowledge readily accessible to all employees within the organization.

Strategy & Vision: Own the multi-year strategy for how SDnA captures, curates, and shares its collective knowledge. Design and implement modern, queryable, AI-navigable systems on enterprise platforms that support easy internal access and secure collaboration. System Implementation & Optimization: Build or optimize a centralized knowledge system for statistical, data management, and analytics resources. Apply enterprise platforms and best practices to ensure that procedures, process maps, and supporting materials are searchable by global teams. Ontology, Data & Process Mapping: Develop a domain ontology and process maps that reflect current SDnA workflows and information architecture. Honor study lifecycle sequence, functional ownership, and regulatory constraints. Apply the appropriate technical tools (e.g., coding, automation, low-code platforms, visualization software) to categorize knowledge assets, surface redundancies, map processes, and identify gaps. Standards & Quality: Set the standards for how knowledge is created, tagged, versioned, and retired. Establish the taxonomy and content lifecycle model, and design automated quality checks that keep content clean, concise, accurate, and compliant as the organization changes. Change Management & Training: Lead change management to drive adoption of new systems and practices. Develop training programs, user guides, and support resources. Champion a culture of knowledge-sharing through regular communication and leadership support. Cross-Functional Collaboration: Work closely with statistics, data management, programming, regulatory, IT, and quality partners to align the system with business needs. Coordinate technical integrations and gather feedback from subject-matter experts to continuously improve the system. Continuous Improvement & Impact: Monitor usage metrics and key performance indicators (e.g., most-accessed topics, search query success