Title: Manager – Strategic Sourcing (Digitization & Analytics)

Location: Mumbai

Exp: 10+ Years

: Key Responsibilities-

AI & ML Strategy for Strategic Sourcing

- Partner 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, and procurement operations automation.
- Define an 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, and Generative AI workflows.
- Create AI-enabled dashboards and analytical insight platforms.

LLM & Generative AI

- 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 Generative AI 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, and 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 the 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.

Education Qualification

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics Engineering, or a related field.
- MBA or specialization in Supply Chain, Analytics, or AI is preferred.

Experience

- 8–15 years of experience in AI/ML, analytics, or enterprise digital transformation.




- Strong experience in manufacturing, automotive, procurement, or supply chain environments is preferred.
- Proven track record of delivering enterprise AI applications.

Technical Skills

Core AI & ML

- Expert-level Python programming.
- Strong expertise in Machine Learning, Deep Learning, NLP, Generative AI, and LLM architectures.
- Hands-on experience with LangChain, vector databases, RAG pipelines, prompt engineering, and AI orchestration frameworks.
- Experience with TensorFlow, PyTorch, and Scikit-learn.

Enterprise Systems

- Strong knowledge of SAP S/4HANA, Qlik SaaS, and 3DEXPERIENCE (3DX).
- Experience with enterprise data lakes, API integrations, and middleware systems.

Development Skills

- Strong React development skills.
- Expertise in REST APIs and microservices architecture.
- Experience with FastAPI/Flask, Docker, Kubernetes, CI/CD pipelines, and MLOps platforms.
- Experience with cloud platforms such as Azure, AWS, or GCP.

Data & Analytics

- Strong SQL and enterprise data modeling skills.
- Experience handling large-scale enterprise datasets.
- Experience with dashboarding and analytical platform integration.

Preferred Industry Knowledge

- Automotive purchasing and sourcing processes.
- Understanding of BOM and cost structures.
- Supplier ecosystem management.
- Manufacturing digital transformation.
- Procurement analytics and spend management.

Behavioral Competencies

- Robust problem-solving and analytical mindset.
- Excellent stakeholder management skills.
- Strong communication and presentation skills.
- Ability to translate business problems into AI-driven solutions.
- Innovation-oriented with a strong execution focus.
- Ability to work effectively in fast-paced, cross-functional environments.

📌 Manager – Strategic Sourcing (Digitization & Analytics) (Mumbai)
🏢 NR Consulting
📍 Mumbai