SAP HANA (ERP Data Domain Lead/Architect - Manufacturing Operations)
Talentmovers Inc
Jersey City, NJ, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$85,000.0 - $90,000.0
Working hours
Regular working hours
Job source
Tech stack
Data Governance
Metadata
Operational Data Store
SAP (Applications)
SAP HANA
SQL Databases
Google Cloud
Data Lakes
People Soft
Data Management
Job 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.
- Resolve inconsistencies across source systems and improve data usability., Well established real estate company seeking and an experienced Leasing Manager to lead our growing talented team! This Jobot Job is hosted by: Josh Rabinowitz Are you a fit? Ea…
- 2 hours ago
Requirements
- 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.
Benefits & conditions
- $90,000-95,000 per year
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