$148.3K – $222.5K/yr
Role overview
Job description
Solution Architecture & Business Partnership
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Designs and delivers technical solutions, creates detailed solution designs, specific integration points, and selects appropriate tools and frameworks. Collaboration with developers and engineers to implement solutions, conducts technical reviews and resolves design challenges.
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Documents architectures, provides technical guidance during development, and ensures solutions adhere to performance, security, and interoperability requirements. Prototypes new approaches and evaluates emerging technologies for project suitability.
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Serve as the primary point of contact and trusted advisor for business partners across Manufacturing, Production Planning, Quality, and Engineering on process design and system capability questions.
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Act as the lead advocate for Manufacturing and Quality stakeholders in all ERP, MES, QMS, and PLM-related discussions, ensuring their operational needs, constraints, and priorities are represented in solution design.
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Become the go-to resource for any proposed Manufacturing or Quality process change, evaluating impact, feasibility, and fit within the Oracle Fusion ERP data model and integration landscape before implementation.
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Translate business requirements into scalable solution designs that balance standard Oracle Fusion functionality against configuration, extension, or integration needs.
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Maintain a working command of adjacent end-to-end flows (Order-to-Cash, Procure-to-Pay) to ensure Manufacturing, MRP, MES, and QMS designs do not create downstream conflicts or gaps.
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Directly configure Oracle Fusion Manufacturing, Supply Chain Planning/MRP, Work Definitions, Quality Inspections, and related modules for medium-sized projects, enhancements, and break/fix work.
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Build, test, and deploy configuration changes, including setup of Fusion functional areas, security, workflows, approval rules, and data structures related to manufacturing and planning processes.
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Author functional design documents, configuration workbooks, test scripts, and process/procedure documentation to support changes made in the environment.
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For large or highly complex initiatives, define solution architecture and requirements, then partner closely with the implementation partner to execute — remaining accountable for solution quality, business fit, and knowledge transfer.
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Participate in and help lead workshops, fit-gap sessions, and design reviews with Manufacturing and Quality stakeholders and implementation partner teams.
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Own MRP and Supply Chain Planning configuration — planning parameters, supply/demand netting, exception messages, and planner workbench — ensuring plans translate cleanly into executable work orders.
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Own the functional roadmap, configuration governance, and business alignment for:
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Ensure MES, QMS, and PLM remain architecturally aligned with Oracle Fusion Manufacturing and MRP, avoiding duplicate data ownership, conflicting BOM/routing data, or process gaps across systems.
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Define and maintain the target integration model between MES, QMS, PLM, and Oracle Fusion ERP, including engineering-to-manufacturing BOM transfer and quality event-to-ERP disposition flows.
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Partner with the Solutions Architect – Supply Chain on supplier-quality data flowing from Procure-to-Pay into QMS-driven supplier corrective action processes.
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Design and help implement integrations between Oracle Fusion ERP and MES, QMS, and PLM (Teamcenter), including BOM/routing sync, work order status, and quality disposition data.
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Define integration requirements, data mappings, and error-handling/reconciliation approaches in partnership with technical/integration teams.
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Evaluate integration patterns (API, middleware, file-based) and recommend approaches appropriate to data volume, latency, and criticality, particularly for shop-floor/real-time data.
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Support testing, cutover, and hypercare activities for integration-related changes.
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Maintain configuration standards, documentation, and change control discipline for the Manufacturing, MRP, MES, QMS, and PLM functional areas.
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Identify opportunities for process simplification, automation, and improved data quality across planning, production, and quality cycles.
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Stay current on Oracle Fusion quarterly releases relevant to Manufacturing and Planning, and assess/recommend adoption of new features.
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Mentor junior functional/technical resources and contribute to a growing internal ERP center of excellence.
Hands-On Configuration & Delivery
MRP, MES & QMS Ownership
– MES (Manufacturing Execution System) — work order execution, shop-floor data collection, routing/operation tracking
– QMS (Quality Management System) — inspections, non-conformance, corrective/preventive action (CAPA), supplier quality
– PLM – Teamcenter — engineering BOM, item master, and change management integration with Oracle Fusion
Integrations
Governance & Continuous Improvement
Required Qualifications:
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12+ years of progressive experience in enterprise ERP systems, with significant depth in MRP/Supply Chain Planning, MES, and QMS functions.
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Hands-on experience configuring Oracle Fusion Cloud ERP (Manufacturing and Planning pillars); comfortable working directly in the application, not solely at a requirements level.
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Experience across multiple full-lifecycle ERP implementations (Oracle Fusion required; prior experience with Oracle EBS, SAP, or other major ERP platforms is a plus).
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Direct, hands-on experience with at least one MES platform and one QMS platform, including their integration into an ERP environment.
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Working knowledge of Order-to-Cash and Procure-to-Pay processes and how they interact with Manufacturing, MRP, and quality operations.
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Demonstrated experience acting as a functional/solution architect — able to design solutions independently, not just execute configuration tasks handed down by others.
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Experience partnering with or managing systems integrators/implementation partners on complex delivery efforts.
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Strong business partnering and stakeholder management skills; comfortable being the primary escalation point for Manufacturing and Quality process questions.
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Working understanding of integration concepts and experience partnering on ERP-to-MES/QMS/PLM system integrations.
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Excellent written and verbal communication skills, including experience producing functional design documents, process documentation, and executive-level updates.
Preferred Qualifications:
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Prior consulting background (Big 4, Oracle partner, or boutique Oracle Fusion implementation firm) strongly preferred.
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Direct experience owning or integrating PLM (Teamcenter) with Oracle Fusion Manufacturing/Engineering data.
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Experience in aerospace, defense, or other regulated/complex discrete manufacturing environments.
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Familiarity with Oracle Integration Cloud (OIC) or similar middleware/integration platforms.
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Oracle Fusion certifications in Manufacturing, Supply Chain Planning, or Quality.
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Experience operating in environments with export control, ITAR/CUI, or other regulated data-handling requirements.
AI & Agentic Automation Capabilities:
Shield AI is investing in Agentic AI to accelerate and automate manufacturing and quality operations. This role is expected to actively identify, design, and help implement AI-driven automation across Manufacturing, MRP, MES, and QMS — not simply consume AI tools built by others.
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Identify high-value candidates for Agentic AI automation within Manufacturing and Quality — e.g., planner workbench exception triage, shop-floor anomaly detection, quality non-conformance routing/CAPA drafting, and work order scheduling recommendations.
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Design and configure AI agent workflows using Oracle’s embedded AI/ML and agentic capabilities (e.g., Oracle Fusion AI agents, OCI Generative AI, Redwood/AI-driven planning recommendations) as they become available across Fusion Manufacturing and Planning.
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Partner with IT/data teams to define prompts, guardrails, data inputs, and approval/exception paths for AI agents acting on manufacturing and quality transactions, ensuring appropriate human-in-the-loop controls.
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Evaluate and pilot third-party or custom Agentic AI tools (e.g., for predictive maintenance, quality defect pattern detection, MES data synthesis, or supply/demand sensing) and assess fit against the target architecture.
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Use AI-assisted tools for day-to-day solution work — requirements analysis, test script generation, configuration documentation, and data mapping — to increase delivery speed and quality.
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Bring or build fluency in prompt engineering and AI workflow design; prior hands-on experience with generative AI or agentic AI platforms (Oracle AI Agent Studio, OCI Generative AI, Microsoft Copilot Studio, UiPath/Automation Anywhere agentic features, or similar) is a strong plus.
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Champion responsible AI adoption — data quality, auditability, and change management — when introducing agentic workflows into regulated, ITAR/CUI-sensitive environments.
Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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About this listing
- Source: Shield AI's official careers site · still listed there on 10 Nov 2026
- Posted 9 Nov 2026
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What they are looking for
Skills & requirements
Department · Enterprise Operations Division
Hiring company
Shield AI
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