Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit
www.shield.ai. Follow Shield AI on
LinkedIn,
X,
Instagram, and
YouTube.
Job Description:
The Manufacturing & Maintenance Functional Lead will own Oracle Fusion Manufacturing and Maintenance modules, ensuring production integrity, serialized traceability, and asset reliability across manufacturing operations.
This role directly supports production uptime and operational excellence.
You must have experience leading an Oracle Fusion implementation at scale.
What you'll do:
Oracle Fusion Module Ownership
Manufacturing
Work Definitions
Work Execution
Maintenance (EAM)
Manufacturing Focus
Work order lifecycle governance
WIP cost accuracy
Repair and rework loops
Serialized assembly tracking
Backflushing controls
Shop floor process alignment
Operational Leadership
Partner with plant operations leaders
Drive work order process improvements
Stabilize WIP reconciliation
Coordinate MES integration impacts
Support maintenance cost tracking
Leverage Oracle Cloud’s AI/ML capabilities (e.g., predictive maintenance signals, production anomaly detection, and intelligent scheduling) to improve manufacturing efficiency, reduce downtime, and enhance throughput.
Collaborate with Supply Chain, Procurement, and Inventory teams to ensure seamless integration across planning, sourcing, production, and fulfillment processes.
Required qualifications:
8+ years manufacturing systems experience
Strong understanding of production control and WIP costing
Experience with serialized manufacturing
Oracle Fusion Manufacturing experience is a must
Preferred qualifications:
Oracle Cloud Certification highly desired
Experience with MES integrations
Aerospace manufacturing background
Knowledge of asset reliability principles
