AI Manufacturing & Technology Leader

# AI Manufacturing & Technology Leader직무 유형 경력Postal Code 19805 Wilmington, Delaware직무 W카테고리 엔지니어링**게시일
** 07/13/2026지금 지원듀폰은 필수적인 혁신을 통해 전 세계가 번영할 수 있도록 이바지하는 것을 목표로 삼고 있습니다. 우리는 중요한 사안을 해결하고자 노력합니다. 예를 들어 지구상 10억 명이 넘는 인구에게 깨끗한 물을 공급하거나, 스마트폰에서 전기차에 이르는 일상적인 기술 장치에 필수적인 소재를 생산하고, 전 세계 근로자를 보호하는 것 등이 우리가 생각하는 중요한 사안입니다. 세계 최고의 인재들이 듀폰을 직장으로 선택하는 수많은 이유를 알아보세요.

듀폰에 입사해야 하는 이유 | 듀폰 채용  Purpose The AI Leader for Operations will define, operationalize, and scale the use of artificial intelligence and advanced analytics across global operations to drive measurable improvements in safety, quality, delivery, inventory, asset reliability, and cost.

This role serves as the primary product owner for AI in Operations, bridging operations leadership, Digital/IT, data science, and product teams to translate concrete operational problems into AI‐enabled solutions that are embedded into ways of working, adopted at scale, and sustained over time.

The role is accountable for the Operations AI roadmap, product lifecycle management from intake through scaled deployment, and value realization—working within DuPont’s enterprise AI strategy, architecture, and Responsible AI guardrails.

Key Responsibilities – Product Ownership, Roadmap & Value Delivery Develop and execute the Operations AI roadmap aligned to business and OpEx priorities, including multi‐year sequencing across sites and regions.

Translate operational objectives into a balanced AI product backlog/portfolio with clear ROI, scalability, risk, and change‐impact criteria; identify high‐value use cases to prevent fragmentation and stop low‐value efforts early.

Own value realization and sustained business impact with measurable KPIsEnsure successful use cases progress from pilot to productized capability to scaled, enterprise deployment with reuse across the footprint.

Operational Integration & Execution Lead end‐to‐end deployment of AI solutions from design through adoption, including process redesign, controls, training, and sustainment.

Embed AI into standard operating processes and decision routines with appropriate human‐in‐the‐loop controls.

Partner closely with plant leadership, supply chain, engineering, quality, EHS, reliability, and regional operations leaders to prioritize and deploy solutions.

Center of Excellence (COE) Leadership Build and lead an Operations AI enablement team (federated model) that accelerates delivery locally while aligning to enterprise standards and guardrails.

Implement and ensure adherence to enterprise standards for governance, security, ethics, and lifecycle management for Operations AI use cases.

Establish scalable delivery playbooks and reusable assets for Operations (e.g., intake templates, deployment runbooks, validation and monitoring checklists) aligned to approved enterprise platforms and architectures.

Change Leadership & Capability Building Build AI literacy across Operations with role‐based curricula for operators, supervisors, engineers, planners, reliability, and quality teams.

Lead end‐to‐end change management and adoption, working cross-functionally with IT, HR and other functions to maintain consistency with enterprise programs.

Define new or evolving roles in Operations (e.g., AI product owners, digital reliability leads); develop internal AI talent and communities of practice to sustain adoption.

Scope & Key Interfaces Accountable for AI adoption and value realization across global Operations.

Partners closely with DuPont’s AI/Digital teams for enterprise AI strategy, platforms, and Responsible AI guardrails, and with IT for architecture, integration, and cybersecurity.

Serves as the primary interface with plant, regional, and business operations leaders.

Owns business outcomes enabled by AI; does not own enterprise IT infrastructure.

Qualifications Bachelor’s degree in engineering, Operations, Computer Science, or related field; advanced degree (MBA/MS) preferred or equivalent experience.
10+ years of leadership experience in manufacturing operations, and AI transformation in industrial environments.

Proven experience translating operations into AI solutions that deliver value p understanding of discrete, process, or…