> Markdown version of [/jobs/ext/1167379-sap-hana-erp-data-domain-lead-architect-manufacturing-operations](https://www.wearedevelopers.com/jobs/ext/1167379-sap-hana-erp-data-domain-lead-architect-manufacturing-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# SAP HANA (ERP Data Domain Lead/Architect - Manufacturing Operations)

- **Company:** Talentmovers Inc
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $85,000.0 - $90,000.0
- **Contract:** Permanent contract
- **Skills:** Data Governance, Metadata, Operational Data Store, SAP (Applications), SAP HANA, SQL Databases, Google Cloud, Data Lakes, People Soft, Data Management
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/jobad/usd7631093cec2864a2fa4c4df784f95a7

## About the Role

* Strong knowledge/experience of manufacturing and operations processes in ERP environments.
 * Experience with SAP and/or PeopleSoft manufacturing or supply chain data.
 * Background in enterprise data modeling and data governance.
 * Ability to work with cross-functional teams in operations and technology.

Experience with data lake or lakehouse implementations is preferred.

## Description

Mandatory Skill :: ERP, Data Modeling, GCP, SQL, Manufacturing, Data Lake , Operation
We are seeking a Manufacturing Operations Data Domain Lead to define the canonical data model for manufacturing and operations data across SAP, PeopleSoft, and the datalake ecosystem.
This role will help standardize operational data for planning, execution, inventory, and performance analytics.
Responsibilities:

 * Define the canonical data model for Manufacturing and Operations entities such as material, BOM, routing, work order, production order, inventory, warehouse, plant, machine, capacity, and quality records.
 * Map SAP and PeopleSoft operations data to a unified enterprise model.
 * Collaborate with Operations, Supply Chain, Manufacturing, and IT stakeholders to align business definitions.
 * Establish metadata, master data, and quality standards for operational data.
 * Support operational reporting, performance tracking, planning, and analytics use cases.
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