Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing

Mahindra And Mahindra Ltd.; Mumbai; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Mahindra And Mahindra Ltd. in Mumbai invites an experienced Digitization & Analytics Manager to lead AI/ML strategy for strategic sourcing and enterprise data initiatives.

You will define roadmaps, build AI-enabled procurement solutions, and integrate with SAP S/4HANA, Qlik SaaS, and other platforms while mentoring teams across IT, digital, and sourcing functions. This role demands 8–15 years in AI/ML and a strong manufacturing/procurement background.

Qualifications

• Bachelor’s or Master’s in CS/AI/DS/IT/EE; MBA preferred in Supply Chain/Analytics/AI.
• 8–15 years of AI/ML, analytics, or enterprise digital transformation.
• Experience in manufacturing, automotive, procurement, or supply chain environments.

Responsibilities

• Define AI/ML roadmap aligned with digital transformation goals.
• Develop AI/ML apps for procurement using structured and unstructured data.
• Build copilots, dashboards, and RAG frameworks for sourcing.
• Integrate AI solutions with SAP S/4HANA, Qlik, and 3DX and other enterprise systems.
• Lead full stack development of AI-powered web apps using React and Python.
• Mentor data scientists and manage cross-functional stakeholders.

Skills

Python

NLP

Generative AI

LangChain

AI orchestration

TensorFlow

PyTorch

Scikit-learn

SAP S/4HANA

Qlik SaaS

3DEXPERIENCE (3DX)

API integrations

Middleware systems

REST API

FastAPI/Flask

Docker

MLOps

SQL

Data modeling

Dashboarding

Education

Bachelor's or Master's in CS/AI/DS/IT/EE

MBA or specialization in Supply Chain / Analytics / AI

Tools

SAP S/4HANA

Qlik SaaS

3DEXPERIENCE (3DX)

FastAPI / Flask

Docker

MLOps platforms

API integrations

Middleware systems

LangChain

TensorFlow

PyTorch

Scikit-learn

Job description

Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing

Date: 27 Oct 2026

Location: Mumbai A.O, MUM-KND-AFS(AD), IN

Key Responsibilities

AI & ML Strategy for Strategic Sourcing

• 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
• Spend analytics
• Contract analytics
• Demand forecasting
• Define AI roadmap aligned with organizational digital transformation goals.
• Build scalable AI frameworks and reusable AI components for sourcing functions.

AI/ML Solution Development

• 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:
• Recommendation systems
• Semantic search systems
• 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
• 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.

Full Stack & Application Development

• 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.

Stakeholder & Team Management

• 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.

Preferred Industries

• Farm Sector

Education Qualification

• Bachelor’s or Master’s degree in:Computer Science,Artificial Intelligence, Data Science,Information Technology, ElectronicsEngineering or related field
• Preferred:MBA or specialization in Supply Chain / Analytics / AI

General Experience

• 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.

Critical Experience

Technical Skills

Core AI & ML

• Expert in Python programming
• Strong expertise in:
• NLP
• Generative AI
• Hands-on experience with:
• LangChain
• AI orchestration frameworks
• Experience with ML frameworks:
• TensorFlow
• PyTorch
• Scikit-learn
• Strong knowledge of:
• SAP S/4HANA
• Qlik SaaS
• 3DEXPERIENCE (3DX)
• API integrations
• Middleware systems
• Development Skills
• REST API and microservices architecture expertise
• Experience with:
• FastAPI / Flask
• Docker
• MLOps platforms
• Data & Analytics
• SQL and enterprise data modeling expertise
• Experience handling large-scale enterprise datasets
• Dashboarding and analytical platform integration experience
• Preferred Industry Knowledge
• Automotive purchasing and sourcing processes
• BOM and cost structure understanding
• Procurement analytics and spend management
• Strong problem-solving and analytical mindset
• 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

System Generated Core Skills

• Analytical Thinking
• Communication Skills
• Project Planning & Execution
• Price Optimization
• Sourcing
• Strategic Sourcing

System Generated Secondary Skills

• Negotiation
• Project Management