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    Job · 22541489

    RNR Global Solutions Private Limited logo

    SAP MM Materials Management

    RNR Global Solutions Private Limited · Hyderabad · onsite · Posted today

    ₹13.0L - ₹23.0L PA7–12 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    We are hiring for MNC company


    Role & responsibilities


    MM Functional & Technical Delivery

    • Configure and optimize MM processes including:
    • Procure to Pay (P2P)
    • Purchase Requisition/Order Management
    • Source List & Quota Arrangements
    • Vendor Management
    • Inventory Management, Reservations & Movements
    • Material Master Data
    • Release 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:
    • Requirement interpretation and process design
    • Material and vendor data validation
    • Error diagnostics in procurement and inventory workflows
    • Test creation, regression analysis, and change impact assessments
    • Document generation (FS, TS, SOPs, KT decks)
    • Integrate pre built AI services to enhance MM operationse.g.,
    • Automated classification of materials or purchasing documents
    • Predictive signals (e.g., low stock, delayed deliveries)
    • Intelligent 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.


    Sourced from naukri

    Skills

    P2Pand QMMaster Dataand AI-assisted testing.and MM troubleshootingand release strategiesLLM documentationpurchasingPPidocsfiAI copilotsGoods MovementsIntegration with SDoutputsPricingPR/POand inventory management.

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