SAP MM MDG TECHNO-FUNCTIONAL C2C jobs Indianapolis, IN

Tech Mirrors; Indianapolis (IN); On-site; USD 55,000 - 96,000; Part time

Job summary

Tech Mirrors is seeking a SAP MM Master Data specialist to lead master data governance and migration efforts in an S/4HANA environment. You will coordinate material and vendor master data, purchasing info records, and related MM activities.

The role focuses on data integrity, cutover readiness, and collaboration with FI/SD/WM teams to ensure a smooth go-live for the SAP system.

Qualifications

• Must-have SAP MM master data experience including material and vendor masters.
• Experience with purchasing info records, source lists and quota arrangements.
• Knowledge of material groups and plant/storage location structures.

Responsibilities

• Manage goods receipt/issue and stock transfers.
• Oversee physical inventory and cycle counting.
• Handle MM-related cutover activities and data migration tasks.

Skills

Material master data

Vendor master / Business Partner

Purchasing info records

Source lists

Quota arrangements

Material groups/plant structures

Goods receipt/issue

MIRO / GRIR reconciliation

Tools

S/4HANA

LSMW

BODS

Migration Cockpit

Job description

Role: SAP MM Master Data

Location: Indianapolis, IN

Duration: 6 months

Role Descriptions:Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Material master (views: Basic, Purchasing, MRP, Accounting, Costing)
• Vendor master / Business Partner (S/4HANA)
• Purchasing info records, source lists, quota arrangements
• Material groups, plant/storage location structures

Good-to-Have

• Purchase requisitions, RFQs, purchase orders
• Contracts and scheduling agreements
• Release strategies (approval workflows)
• Automated procurement (MRP-driven, subcontracting, consignment, stock transfer orders)

SN Responsibility of / Expectations from the Role

• Goods receipt/issue, stock transfers
• Physical inventory / cycle counting
• Batch management, special stock types (consignment, project stock)
• Valuation (moving average, standard price)
• MIRO / logistics invoice verification, GR/IR reconciliation, Tolerance settings, blocking reasons
• FI (account determination, OBYC), SD (for STOs, intercompany), PP (for production-related procurement), WM/EWM (warehouse execution)
• Legacy material master, vendor, open PO, and open GR/IR data extraction and load (LSMW, BODS, Migration Cockpit for S/4HANA)
• Open purchase order and open contract migration strategy
• Physical inventory reconciliation between legacy and SAP at cutover
• Sequencing: master data first - open transactional data - stock/inventory
• Freeze period management no legacy transactions once extraction begins
• Mock cutover runs (dress rehearsals) to validate timing and data accuracy
• Stock quantity/value reconciliation (legacy vs SAP), Open PO/PR balance validation, GR/IR clearing account balance checks post-load
• Troubleshooting MM transaction issues in the days/weeks after go-live
• Handling exceptions from incomplete or mismatched legacy data
• Quick-fix configuration for edge cases discovered post-go-live
• Aligning MM cutover activities with FI (inventory valuation posting), SD (STO/intercompany flows), and Basis (system readiness)

Master Data Governance is essential to the successful execution of any business processes (e.g., launch, source change, rationalization) within SAP system.

Without clean, accurate, relevant, and consistent master data, It is difficult to operate business processes effectively and the information needed from SAP to make sound business decisions is flawed or unavailable.

The Supply Chain Data Analyst works to support supply chain master data within SAP and provides detailed knowledge and assistance to Business users, affiliates, sites, and outsourced partners to ensure understanding of the data and changes needed to support everyday business. Specifically, the Data Analyst implements and executes the master data governance strategy implements projects and provides day-to-day production support to the user community.

Key deliverables/objectives

• Provide cross-functional and geographic perspectives on data governance.
• Provide leadership and suggestions for proactive data auditing and lifecycle management.
• Implement data quality metrics and help interpret any trends on data quality within their functional area/geography.
• Monitor business conformity to governance rules and policies.
• Drive the completion of assigned data auditing tasks.
• Develop consistent procedures, processes, and tools across Integrated Services MDM
• Protect the integrity and accuracy of data to be loaded into the SAP system
• Articulate the impact to master data of IT design, business processes, & end user transactions