Data Steward (Remote) - SAP PS -Projects/WBS
Tandym Group
Englewood Cliffs, NJ, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$176,800.0 - $197,600.0
Working hours
Regular working hours
Job source
Tech stack
Cloud Computing
Data Architecture
Data Cleansing
SAP (Applications)
SAP Implementation
SAP Project System
SAP S/4HANA
Data Management
Job description
- Lead cleansing and readiness efforts for CapEx Project/WBS and Title Project/WBS data
- Define standards for project status, WBS structure, ownership, organizational assignments, dates, settlement attributes, and coding
- Identify closed, inactive, duplicate, incomplete, or out-of-scope projects and coordinate retention decisions
- Validate project hierarchies and parent-child relationships
- Define legacy-to-SAP mappings, selection criteria, transformation requirements, defaults, and enrichment needs
Requirements
- Experience supporting enterprise data transformation, migration, or conversion initiatives
- Strong experience with source-data cleansing, rationalization, enrichment, mapping, and readiness
- Experience defining object- and field-level data-quality rules and conversion scope
- Experience supporting mock conversion cycles, validation, reconciliation, exception resolution, and cutover
- Strong analytical, documentation, problem-solving, and stakeholder-management skills
- Ability to work with business owners, functional teams, data owners, and technical transformation teams
- Experience with project master data, WBS structures, capital projects, or project accounting
- Experience cleansing, mapping, validating, or converting hierarchical project data
- Ability to assess project status, structure, and financial relevance for conversion scope
Desired Skills:
- Experience with SAP Project Systems and Project/WBS conversion
- Experience contributing to an end-to-end SAP S/4HANA Cloud Public Edition implementation
- Familiarity with SAP best practices and future-state process and data design
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