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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:
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 productivity—without requiring deep involvement in LLM development, RAG, or agentic AI systems.
Key Responsibilities:
MM Functional & Technical Delivery:
Configure and optimize MM processes including:
o Procure to Pay (P2P)
o Purchase Requisition/Order Management
o Source List & Quota Arrangements
o Vendor Management
o Inventory Management, Reservations & Movements
o Material Master Data
o 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:
o Requirement interpretation and process design
o Material and vendor data validation
o Error diagnostics in procurement and inventory workflows
o Test creation, regression analysis, and change impact assessments
o Document generation (FS, TS, SOPs, KT decks)
Integrate pre built AI services to enhance MM operations—e.g.,
o Automated classification of materials or purchasing documents
o Predictive signals (e.g., low stock, delayed deliveries)
o 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.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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Accentureについて

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
従業員数
Dublin
本社所在地
$139B
企業価値
レビュー
3.6
9件のレビュー
ワークライフバランス
2.8
報酬
3.2
企業文化
3.4
キャリア
3.7
経営陣
3.1
62%
友人に勧める
良い点
Good career growth and learning opportunities
Great culture and work environment
Good compensation and benefits
改善点
Office politics and political environment
Long hours and stressful work
Low starting salary below market rate
給与レンジ
21件の データ
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0件のレポート
$63,830
年収総額
基本給
$25,532
ストック
$31,915
ボーナス
$6,383
$44,681
$82,979
面接体験
1件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
100%
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
ニュース&話題
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