Digitization & Analytics Manager - Strategic Sourcing
Mahindra Group · Posted Oct 27
Automotive, farm equipment, information technology, financial services, and hospitality services
Mumbai A.O, MUM-KND-AFS(AD), INFull-timeOnsiteLead/Staff8–15 years₹40.0L–₹65.0L yearly100+ applicants
ConglomerateAutomotiveFarm EquipmentInformation TechnologyFinancial ServicesPublic Company
Full time
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About the role
The role sits within Strategic Sourcing at Mahindra Group and focuses on digitization and analytics for procurement. It involves building AI/ML and LLM solutions across processes such as RFQ management, supplier evaluation, spend analytics, and supplier risk monitoring. The manager will integrate AI applications with enterprise platforms including SAP S/4HANA, Qlik, and 3DEXPERIENCE and lead full-stack AI application development.
What you will do
- Partner closely with Purchasing, Commodity Teams, Supplier Quality, Cost Engineering, and Strategic Sourcing stakeholders to identify AI/ML use cases and business transformation opportunities.
- Understand and map procurement processes including: RFQ management Supplier evaluation Spend analytics Cost optimization Contract analytics Demand forecasting Supplier risk monitoring Procurement operations automation
- Define AI roadmap aligned with organizational digital transformation goals.
- Build scalable AI frameworks and reusable AI components for sourcing functions.
- Design, develop, and deploy AI/ML applications for procurement and sourcing functions.
- Develop predictive, prescriptive, and generative AI solutions using structured and unstructured enterprise data.
- Build intelligent copilots and AI assistants for procurement users using LLM technologies.
- Implement: NLP models Recommendation systems Forecasting models Supplier intelligence engines Semantic search systems Document intelligence solutions Generative AI workflows
- Create AI-enabled dashboards and analytical insights platforms.
- Architect and implement enterprise-grade LLM applications.
- Fine-tune and optimize LLMs for procurement-specific use cases.
- Build Retrieval-Augmented Generation (RAG) frameworks using enterprise data sources.
- Integrate AI copilots with sourcing workflows and enterprise systems.
- Develop prompt engineering frameworks and AI governance standards.
- Evaluate open-source and commercial GenAI ecosystems for enterprise adoption.
- Ensure responsible AI, security, compliance, and data governance.
- Lead integration of AI applications with enterprise platforms including: SAP S/4HANA Qlik SaaS 3DEXPERIENCE (3DX) PLM systems Supplier portals Internal analytics platforms
- Develop API-based architectures and middleware integrations.
- Collaborate with IT, Digital, Data Engineering, and Cloud teams for enterprise deployment.
- Ensure scalability, cybersecurity, reliability, and performance optimization.
- Lead development of AI-powered web applications and user interfaces.
- Build scalable front-end solutions using React.
- Develop backend AI services and APIs using Python.
- Implement cloud-native and microservices-based architectures.
- Drive DevOps and MLOps best practices for continuous deployment and monitoring.
- Work cross-functionally with sourcing leaders, business users, digital teams, and external partners.
- Conduct workshops to identify automation and AI opportunities.
- Mentor data scientists, AI engineers, and analysts.
- Drive vendor evaluations and technology partnerships.
Skills used in this role
What the employer is looking for
- Bachelor’s or Master’s degree in: Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics Engineering or related field Preferred:MBA or specialization in Supply Chain / Analytics / AI
- 8–15 years of experience in AI/ML, analytics, or enterprise digital transformation.
- Strong experience in manufacturing, automotive, procurement, or supply chain environments preferred.
- Proven track record of delivering enterprise AI applications.
- Expert in Python programming
- Strong expertise in: Machine Learning Deep Learning NLP Generative AI LLM architectures
- Hands-on experience with: LangChain Vector databases RAG pipelines Prompt engineering AI orchestration frameworks
- Experience with ML frameworks: TensorFlow PyTorch Scikit-learn
- Strong knowledge of: SAP S/4HANA Qlik SaaS 3DEXPERIENCE (3DX) Enterprise data lakes API integrations Middleware systems
- Strong React development knowledge
- REST API and microservices architecture expertise
- Experience with: FastAPI / Flask Docker Kubernetes CI/CD pipelines MLOps platforms Cloud platforms (Azure/AWS/GCP)
- SQL and enterprise data modeling expertise
- Experience handling large-scale enterprise datasets
- Dashboarding and analytical platform integration experience
- Strong problem-solving and analytical mindset
- Excellent stakeholder management
- Strong communication and presentation skills
- Ability to convert business problems into AI-driven solutions
- Innovation-oriented with execution focus
- Ability to work in fast-paced cross-functional environments
Preferred qualifications
- Automobile
- Farm Sector
- Automotive purchasing and sourcing processes
- BOM and cost structure understanding
- Supplier ecosystem management
- Manufacturing digital transformation
- Procurement analytics and spend management
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mahindra Group
The Mahindra Group is a multinational conglomerate federation of companies with a presence across more than 20 industries globally. The group holds leadership positions in utility vehicles, farm equipment, information technology, and financial services. Driven by its core purpose to enable people to Rise, Mahindra operates across over 100 countries.
- Industry
- Conglomerate
- Company size
- 327000+ employees
- Founded
- 1945-10-02
- Location
- Mumbai, Maharashtra, India
- Funding stage
- Public Company
Leadership
AM
Anand Mahindra
Chairman
AS
Anish Shah
Group CEO & Managing Director
AB
Amarjyoti Barua
Group Chief Financial Officer
MK
Mohit Kapoor
Group Chief Technology Officer
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