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Mid-tier company, metro location, generalist program title, and desirable AI/manufacturing focus increase applicant competition.
Requires manufacturing, regulated (GxP) experience plus ML engineering, making background fit highly industry-specific.
Explicit 8+ years, mandatory manufacturing/GxP and advanced AI/tech stack requirements raise strictness.
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Lead end-to-end execution of Manufacturing & Supply Data & AI initiatives, managing project portfolio and ensuring alignment with transformation priorities.
Translate strategy into operational plans, govern risk, reporting, and resource allocation across cross-functional teams including Manufacturing, Supply, IT, Data Science, Quality, and Finance.
Drive stakeholder engagement and change management to embed AI, automation, and analytics across global manufacturing and supply operations with measurable improvements.
8+ years experience managing large-scale transformation or digital programs, preferably with exposure to Manufacturing & Supply environments.
Hands-on software development expertise in Python with production-ready practices including CI/CD and version control.
Experience designing and deploying LLM-powered AI systems and integrating solutions into enterprise systems (MES, QMS, ERP).
Bachelor’s degree in Computer Science, Engineering, Data Science or related quantitative field; advanced degrees preferred.
Strong operational leader capable of driving complex AI transformation programs with speed, focus, and structured execution.
Deep understanding of manufacturing, supply chain, and quality processes combined with technical proficiency in AI/ML lifecycle and cloud platforms.
Strategic influencer skilled in stakeholder management across regions (Europe, India) and functions to translate business needs into scalable AI-enabled solutions.