SAP MM Materials Management

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs.
Must have skills : SAP MM Materials Management
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent You will design configure and enhance SAP Materials Management (MM) processes while leveraging AI assisted development tools and copilots to accelerate requirement analysis configuration testing documentation and problem resolution. This role ensures streamlined procurement inventory management and supplier collaboration while integrating pre built AI capabilities to boost productivitywithout requiring deep involvement in LLM development RAG or agentic AI systems.
Key Responsibilities
MM Functional & Technical Delivery
Configure and optimize MM processes including:
oProcure to Pay (P2P)
oPurchase Requisition/Order Management
oSource List & Quota Arrangements
oVendor Management
oInventory Management Reservations & Movements
oMaterial Master Data
oRelease Strategies & Pricing
Use AI copilots to generate functional specifications validate configuration logic create high quality test cases and automate key documentation.
Support end to end delivery across requirements gathering solution design configuration SIT/UAT deployment and hypercare.
Integrate MM with SD FI PP QM and external supplier systems using standard APIs IDocs and middleware.
AI Assisted Productivity
Apply AI tools to accelerate:
oRequirement interpretation and process design
oMaterial and vendor data validation
oError diagnostics in procurement and inventory workflows
oTest creation regression analysis and change impact assessments
oDocument generation (FS TS SOPs KT decks)
Integrate pre built AI services to enhance MM operationse.g.
oAutomated classification of materials or purchasing documents
oPredictive signals (e.g. low stock delayed deliveries)
oIntelligent summarization of PO exceptions or GR/IR issues
Use LLM assisted troubleshooting to reduce incident resolution time.
Governance Quality & Collaboration
Ensure compliance with procurement governance audit policies material master standards and operational controls.
Participate in workshops walkthroughs and process optimization discussions supported by AI generated insights.
Collaborate with procurement warehouse finance production QM and integration teams to deliver cohesive MM solutions.
Contribute reusable templates checklists and AI augmented best practices for MM configuration and testing.
Required Skills & Experience
SAP MM Expertise
Strong understanding of P2P processes purchasing document flows vendor evaluation and inventory management.
Experience configuring material master vendor master PO/PR processing goods movements and release strategies.
Familiarity with integration across SD FI PP and QM.
Knowledge of IDocs outputs pricing procedures and common MM troubleshooting patterns.
AI Ready Skills
Hands on experience using AI copilots LLM powered documentation tools and AI assisted testing accelerators.
Ability to integrate pre built AI capabilities (not custom AI model building) into MM workflows for automation and insight generation.
Understanding of responsible AI usage data quality impacts and the limitations of AI in procurement contexts.
General Skills
Strong analytical and problem solving skills in procurement and material management scenarios.
Ability to translate business requirements into logical scalable SAP MM configurations.
Clear communication and collaboration skills across functional business teams.
Continuous learning mindset with comfort adopting AI enabled productivity tools.
Good to Have
SAP MM Certification (S/4HANA Sourcing & Procurement).
Experience with Ariba Fieldglass or other procurement platforms.
Exposure to warehouse or logistics processes (WM/EWM).
Familiarity with automated testing frameworks (e.g. Tricentis).
Outcome Expectations
Deliver faster more accurate SAP MM solutions using AI assisted development and analysis.
Improve procurement transparency supplier coordination and inventory accuracy.
Serve as a connective layer between procurement teams SAP engineering teams and AI native colleagues when deeper AI expertise is needed.
Additional Information
A 15 years full time education is required