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Jobs · Manufacturing · Delaware

MES Solution Delivery Leader

Qnity · Wilmington, DE · 1 mo ago
HybridManufacturingFull-time

Solution Delivery Leader – Manufacturing Execution and Quality Systems

Function: Integrated Operations & Technology - Digital Technology
Location: [Wilmington, Cheonan, Hsinchu, etc.] / Hybrid (~20–30% travel)
Scope: Global, multi-site, multi-vendor

  • Role Summary

  • 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

  • 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.
  • 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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