Associate Director, Digital Knowledge Management & Data Strategy - SDnA

Lilly • Indianapolis, IN

10d • $115,500 - $169,400 • Onsite

About The Position

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.

Requirements

• Demonstrated record of building scalable knowledge systems, drafting and implementing standards and procedures, and driving organizational adoption. Experience in knowledge management, information management, or data/analytics operations, with a focus on implementing KM systems.
• Bachelor’s degree. Advanced degree is a plus.
• 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 and/or visas for this role.

Nice To Haves

• Pharmaceutical or comparably regulated industry experience (roughly 5 years), including approximately 3 years in a KM-focused role.
• Understanding of the clinical data and analysis lifecycle and of the documents, workflows, and terminology used across them. This includes (but is not limited to) data standards, data management, statistical analysis and reporting, safety, and regulatory submission.
• Demonstrated ability to use technology for knowledge management. Hands-on proficiency with enterprise collaboration tools (e.g., SharePoint, document management systems) and scripting skills (Python preferred) for data analysis and automation. Familiarity with knowledge graphs, semantic retrieval, or AI-assisted approaches is a plus.
• Working knowledge of industry-standard information governance and data-handling practices. Experience developing standards for content management, version control, and access.
• Excellent project leadership with experience motivating change management. Superior communication and interpersonal skills to train users and build strong connections with employees, IT partners, and external collaborators. Skilled at influencing and championing new ideas, leading through ambiguity with sound judgment and transparent decision-making, and developing the capabilities of direct and indirect team members through structured coaching and honest feedback.
• Prior experience leading knowledge management projects in a pharmaceutical, clinical research, or other regulated environment with global operations. Familiarity with emerging technologies, including AI, to enhance knowledge sharing.
• Formal training or certification in change management or process improvement (e.g., PROSCI, Six Sigma, Lean).
• Experience handling knowledge across multiple functions, regions, and time zones, coordinating with regional and global teams.
• A forward-looking approach with the ability to anticipate future knowledge needs and scalability requirements. Experience building solutions that have measurably improved efficiency or reduced risk.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Monitor usage metrics and key performance indicators (e.g., most-accessed topics, search query success rates, content most in need of refresh, accuracy of content). Identify opportunities to improve efficiency and consistency, and maintain a vision for scaling knowledge management systems as the organization evolves.

Benefits

• company bonus (depending, in part, on company and individual performance)
• company-sponsored 401(k)
• pension
• vacation benefits
• 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
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager