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Senior Manager, Digital Manufacturing Systems (MES, AI& Industry 4.0)Function: Integrated Operations& Technology – Digital Technology |
Location: [Wilmington, Cheonan, Hsinchu, etc.] / Hybrid (20–30% travel) | Scope: Global, multi-site, multi-vendor
Role Summary
Global leader responsible for MES, smart manufacturing, digital factory transformation, and AI-enabled manufacturing operations. Define and execute the enterprise MES strategy across our global manufacturing network. Own the vision, architecture, roadmap, and end-to-end delivery of modern MES capabilities in a deliberately hybrid landscape — where COTS, custom-built, and legacy systems each play a role chosen on the merits of the problem. Champion a fit-for-purpose philosophy: leverage COTS where it accelerates time-to-value, and invest in custom or in-house solutions where differentiated process know-how, speed of iteration, or unique manufacturing physics demand it. Enable manufacturing operations with AI by embedding intelligence into MES workflows, decisions, and the operator experience.
Key Responsibilities
Strategy& Architecture
- Define and evolve the multi-year MES strategy and ISA-95-aligned reference architecture supporting Industry 4.0 and the digital-thread vision.
- Establish a fit-for-purpose sourcing framework guiding COTS-vs-custom-vs-configure decisions case by case — weighing differentiation, TCO, change agility, supplier viability, and the value of internal IP.
- Preserve and modernize strategic in-house assets that encode proprietary process expertise; pursue standardization where it pays (data models, integration contracts, identity, observability, security, DevOps) without forcing convergence onto a single MES product.
- Architect for composable MES: stable cores plus best-fit specialized modules and custom extensions.
Solution Delivery
- Own end-to-end delivery (discovery → hypercare → run& maintain) using DevOps and product-team operating models, with distinct playbooks for COTS, custom builds, and legacy modernization (strangler-fig).
- Manage scope, schedule, budget, risk, and benefits realization across concurrent global rollouts; establish engineering standards, DevOps/CI-CD, and OT-grade change control for both COTS configuration and custom code.
AI Enablement of Manufacturing Operations
- Define and execute the AI-for-Manufacturing roadmap integrated with MES — yield, throughput, quality, maintenance, scheduling, and energy.
- Embed AI/ML and generative-AI directly into MES workflows: intelligent dispatching, anomaly detection, virtual metrology, run-to-run control, recipe optimization, and automated root-cause analysis.
- Enable agentic and copilot experiences for operators, engineers, and supervisors; champion closed-loop AI with explainability and human-in-the-loop controls.
- Establish responsible-AI practices for the shop floor (validation, drift monitoring, change control, traceability) and ensure MES is a first-class producer/consumer of the manufacturing data fabric.
Integration, Data, Team& Stakeholders
- Architect integrations across MES ↔ ERP (SAP S/4HANA), PLM, QMS, LIMS, WMS, SCADA/DCS/PLC, Historians (PI), APC/FDC, and EDA; drive SEMI standards adoption (SECS/GEM, GEM300, EDA, E10/E30/E40/E90/E94/E142).
- Build and lead a globally distributed team (architects, engineers, BAs, product owners) and a multi-vendor ecosystem of MES vendors, SIs, AI/ML partners, and managed-service providers.
- Partner with Manufacturing, Quality, Supply Chain, IT/OT Security, and Data& AI; communicate strategy, progress, and value to executive leadership and lead change management for AI-assisted operations.
- Ensure OT cybersecurity (IEC 62443, NIST CSF, Purdue), AI governance, BCDR, and 24×7 resilience for shop-floor-critical systems.
Qualifications
Required
- 10+ years in manufacturing IT/OT with significant experience delivering MES in semiconductor, electronics, or comparably complex industries; as well as leading globally distributed teams and multi-vendor programs.
- Track record deploying or modernizing MES at multiple sites — combining COTS implementations with custom or in-house engineering, including at least one greenfield and one legacy-modernization effort.
- Hands-on experience with leading MES platforms (e.g., Critical Manufacturing, AVEVA, TrackSys, Rockwell FactoryTalk, GE Proficy, iBASEt, Tulip) and with custom-application (Microsoft Power Automate, Visio, microservices, event-driven, modern web/UX).
- Tangible experience bringing AI/ML or GenAI into manufacturing operations beyond pilots; familiarity with MLOps, agentic workflows, RAG, and human-in-the-loop design.
- ISA-95 / ISA-88 knowledge; SECS/GEM, OPC UA, APC/FDC, R2R, recipe management, dispatching/RTD, and genealogy/traceability; SAP integration patterns; modern cloud (Azure / AWS / GCP), containers, Kafka, MQTT Sparkplug B.
- Proven Agile/SAFe leadership at scale; strong commercial acumen (RFx, contracts, vendor governance, build-vs-buy analysis); excellent executive communication.
- Bachelor's in Computer Science or Engineering discipline required; Master's or MBA preferred.
- Fluent English required.
Preferred
- Direct experience with semiconductor, advanced packaging, or specialty-materials flows; PMP / SAFe / TOGAF / ISA-95 / ISA/IEC 62443 certifications; AI/ML or cloud-AI certifications.
- Operator copilots or agentic-AI assistants in production; digital-thread / digital-twin programs; low-code platforms (Tulip, Mendix); GxP / ISO 9001 / IATF 16949 / AS9100 environments; participation in SEMI, MESA, or OPC Foundation.
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