Home › Companies › Shieldai › ERP Admin, Manufacturing & Maintenance Functional Lead (R5062)
ERP Admin, Manufacturing & Maintenance Functional Lead (R5062)
Shieldai · Dallas, Texas · On Site · Active · $110,000–$170,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Shieldai |
| Title | ERP Admin, Manufacturing & Maintenance Functional Lead (R5062) |
| Normalized title | - |
| Department / team | Finance Division / Accounting |
| Location | Dallas, TX, United States |
| Work model | On Site |
| Employment type | Full Time Employee |
| Salary | $110,000–$170,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-05-23 / 2026-05-29 |
| Changed / last seen | 2026-06-04 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Shieldai. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Dallas. | Open |
| Department jobs | Active postings in Finance Division. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Shieldai |
| Source | 6d55b205-70f9-48ea-ac2f-da1c04a3da67 |
| ATS provider | Lever |
Description
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.
#LI-TF1
#LD
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.
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
Full job record
| Job ID | a549a2d484a657c43371706e33aa1b50050b1ab7 |
| Org ID | d949636a-8984-44c3-b786-01eba53cd619 |
| Source ID | 6d55b205-70f9-48ea-ac2f-da1c04a3da67 |
| Board ID | 6d55b205-70f9-48ea-ac2f-da1c04a3da67 |
| Provider | lever |
| Provider Job Key | f80b72e9-5a74-497d-8838-9ed2e5297091 |
| Title | ERP Admin, Manufacturing & Maintenance Functional Lead (R5062) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Dallas, Texas |
| Department | Finance Division |
| Team | Accounting |
| Employment Type | Full Time Employee |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | TX |
| City | Dallas |
| Salary Raw | USD 110000-170000 per-year-salary |
| Salary Min | 110,000 |
| Salary Max | 170,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/shieldai/f80b72e9-5a74-497d-8838-9ed2e5297091 |
| Apply URL | https://jobs.lever.co/shieldai/f80b72e9-5a74-497d-8838-9ed2e5297091/apply |
| First Seen At | 2026-05-29 07:00:33Z |
| Last Seen At | 2026-06-06 07:56:06Z |
| Last Checked At | 2026-06-06 07:56:06Z |
| Last Changed At | 2026-06-04 11:32:35Z |
| Inactive At | — |
| Source Posted At | 2026-05-23 01:29:21Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=shieldai/date=2026-06-06/2026-06-06T07-56-03-095Z-dafa42e0947b7593adb56a07121d27ed8112dbacd07fba63ef2ce96b9b4ed0f8.json |
Event Fields
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