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

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.

 

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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.

 

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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.

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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.