Digitization & Analytics Manager - AI/ML Solution

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 :

1. RFQ management

2. Supplier evaluation

3. Spend analytics

4. Cost optimization

5. Contract analytics

6. Demand forecasting

7. Supplier risk monitoring

8. 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 :

1. NLP models

2. Recommendation systems

3. Forecasting models

4. Supplier intelligence engines

5. Semantic search systems

6. Document intelligence solutions

7. 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 LMs 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.