Associate Director - CAS AI Analytics Data Engineering & AI Solutions

Role: Lead data engineering and analytics solution development within Lilly's Corporate Audit Services using Microsoft Fabric. Objectives include building scalable, automated data pipelines, semantic models, Power BI dashboards, and Fabric-native apps to enhance audit and analytics operations. Responsibilities encompass data ingestion, transformation, ELT lifecycle management, governance adherence, and innovation in AI-enabled automation, leveraging Claude Code and agentic frameworks. Collaborates closely with audit stakeholders to translate business needs into trusted, self-service analytics solutions, and drives platform adoption. Qualifications: Bachelor's in Data Science, Analytics, or related field; 5+ years in data engineering or analytics within complex organizations; hands-on experience with cloud data platforms (preferably Fabric), semantic modeling, Power BI, and automation tools. Preferred skills include advanced DAX, solution delivery, solution design, and familiarity with AI development tools and agentic AI concepts. High-value specifics: enterprise data architecture, end-to-end analytics delivery, automation of audit processes, use of Claude AI tools, and a focus on regulated, governance-driven environments. Work setup: not explicitly stated, but involves collaboration across teams in a highly hands-on, agile environment.