Director

• Collaboratively define and develop the enterprise data management strategy for the Medicine Foundry, establishing governance frameworks, architectural standards, and data policies that enable automated, paperless, and fully integrated operations
• Maintain business ownership of the cutting-edge data governance structures including data ownership models, stewardship programs, data quality standards, and master data management processes that position the Foundry as a leader in pharmaceutical data excellence
• Partner with Tech@Lilly and Automation teams to design and implement innovative enterprise data architecture leveraging modern data platforms, real-time integration, and cloud-native solutions that ensure seamless connectivity across MES, LIMS, SAP, Sample Management, and digital plant systems
• Establish forward-thinking data standards and metadata frameworks that ensure compliance with cGMP, FDA 21 CFR Part 11, EU Annex 11, and other regulatory requirements while enabling advanced analytics and AI/ML capabilities
• Lead cross-functional data governance council with representatives from PR&D, M&Q, QC, QA, and Engineering to align on data definitions, quality metrics, and integration requirements that support the digital thread vision
• Champion the use of emerging data technologies, including data fabric architectures, knowledge graphs, semantic layers, and advanced data cataloging solutions to unlock maximum value from Foundry data assets
• Define data requirements and analytics capabilities needed to support real-time operational visibility, predictive analytics, AI/ML applications, and data-driven decision making across the entire value chain
• Develop and implement innovative data integrity controls, automated audit trails, and intelligent data lifecycle management processes that maintain regulatory compliance while enabling operational agility
• Drive the adoption of modern data practices, including DataOps, data observability, and automated data quality monitoring to ensure the Foundry operates with world-class data excellence
• Build, mentor, and lead a high-performing team of data management professionals who bring expertise in data governance, data architecture, data quality, and regulatory compliance
• Establish metrics and KPIs to measure data quality, data accessibility, and business value delivered through enterprise data capabilities

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