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Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing
Mumbai A.O, Mum-Knd-Afs(ad), IN
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and deploy AI/ML applications for procurement and sourcing functions
Build LLM copilots and RAG frameworks using enterprise data
Integrate AI applications with SAP S/4HANA, Qlik and PLM systems
Define the AI roadmap aligned with digital transformation goals
Mentor data scientists, AI engineers, and analysts
From the employer’s posting
Design, develop, and deploy AI/ML applications for procurement and sourcing functions.
Build intelligent copilots and AI assistants for procurement users using LLM technologies.
Lead integration of AI applications with enterprise platforms including:
Define AI roadmap aligned with organizational digital transformation goals.
Mentor data scientists, AI engineers, and analysts.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with:
- Experience with ML frameworks:
- SQL and enterprise data modeling expertise
- Strong communication and presentation skills
- Ability to work in fast-paced cross-functional environments
- Experience handling large-scale enterprise datasets
Qualification wording
Hands-on experience with:
Experience with ML frameworks:
SQL and enterprise data modeling expertise
Strong communication and presentation skills
Ability to work in fast-paced cross-functional environments
Experience handling large-scale enterprise datasets
Education & alternatives
Education Qualification 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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Mahindra & Mahindra is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- FastAPI
- Flask
- PyTorch
- React
- scikit-learn
- TensorFlow
Where the posting names them
Build scalable front-end solutions using React. Develop backend AI services and APIs using Python. Implement cloud-native and microservices-based architectures.
Core AI & ML Expert in Python programming Strong expertise in:
Data & Analytics SQL and enterprise data modeling expertise Experience handling large-scale enterprise datasets
MLOps platforms Cloud platforms (Azure/AWS/GCP) ---
FastAPI / Flask Docker Kubernetes
Docker Kubernetes CI/CD pipelines
Experience with: FastAPI / Flask Docker
TensorFlow PyTorch Scikit-learn
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.
PyTorch Scikit-learn ---
Experience with ML frameworks: TensorFlow PyTorch
Your next step
Complete your application on jobs.mahindracareers.com. The employer’s form will show what is required.
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Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Responsibilities & Key Deliverables
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
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.
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:
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.
Large Language Model (LLM) & GenAI Responsibilities
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.
---
Enterprise Systems Integration
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.
---
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
Automobile
Farm Sector
Education Qualification
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
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:
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
---
Enterprise Systems
Strong knowledge of:
SAP S/4HANA
Qlik SaaS
3DEXPERIENCE (3DX)
Enterprise data lakes
API integrations
Middleware systems
---
Development Skills
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)
---
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
Supplier ecosystem management
Manufacturing digital transformation
Procurement analytics and spend management
---
Behavioral Competencies
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
System Generated Core Skills
Analytical Thinking
Communication Skills
Influencing Skills
Project Planning & Execution
Risk Analysis
Supplier Selection
Pricing
Price Optimization
Supplier Risk Management
Sourcing
Strategic Sourcing
Benchmarking
System Generated Secondary Skills
Negotiation
Project Management
Supplier Management
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai A.O, Mum-Knd-Afs(ad), IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.