We are building an AI Center of Excellence to scale responsible AI across supply chain and operations with clear standards, governance, and measurable outcomes. As the AI COE Manager - Supply Chain & Operations, you will align business leaders, technology teams, and compliance partners to prioritize use cases and deliver improvements across procurement, manufacturing, logistics, and demand planning. Apply to help drive enterprise adoption and operational impact with AI.
Responsibilities
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Set the AI vision for supply chain and operational excellence across forecasting, inventory optimization, production scheduling, quality control, and logistics automation
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Build the COE operating model, roadmap, and prioritization approach for AI use cases spanning global supply chains
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Partner with senior operations leaders to convert strategic objectives into AI initiatives and secure executive sponsorship
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Establish AI technology standards and reference architectures tailored to supply chain data and workloads
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Implement governance that covers token management, tool access/provisioning, data handling, policy compliance, and responsible AI guardrails for operations
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Lead the evaluation and approval of AI tools and models, ensuring alignment with regulatory requirements such as import/export, ESG, quality, and safety
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Champion enterprise adoption of AI platforms for supply chain use cases including digital twins, intelligent dispatching, scenario planning, and autonomous procurement
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Collaborate with data engineering, IT, and manufacturing systems teams to embed AI capabilities into ERP, MES, WMS, TMS, and PLM ecosystems
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Create reusable solution templates, accelerators, and automated workflows to improve cycle times and decision quality
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Facilitate cross-functional workshops, design sessions, and governance councils to align stakeholders on standards, priorities, and value realization
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Develop training, playbooks, and adoption campaigns to upskill plant managers, planners, buyers, and logistics teams on AI-enabled processes
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Define KPIs, dashboards, and performance metrics to track compliance, operational impact, and ROI, and share insights with leadership
Requirements
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Demonstrated track record with 8+ years of experience in supply chain, operations, or related fields, including leading AI or digital transformation initiatives
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Hands-on experience establishing AI governance frameworks, enterprise standards, and reference architectures for operations at scale
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Advanced knowledge of AI platforms such as AWS Bedrock, Microsoft Copilot Studio, and Anthropic Claude
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Working familiarity with supply chain systems including ERP, MES, WMS, TMS, and PLM ecosystems
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Solid understanding of regulatory requirements tied to import/export, ESG, quality, and safety compliance
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Proven background in change management, including running cross-functional workshops and governance councils
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Ability to define KPIs, dashboards, and performance metrics to quantify operational impact and ROI
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Deep understanding of AI use cases in supply chain contexts, including digital twins, intelligent dispatching, scenario planning, and autonomous procurement
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Experience developing training programs, playbooks, and adoption campaigns for cross-functional teams
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English proficiency at B2+ (Upper-Intermediate) level
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
