Digitization & Analytics Manager - Strategic Sourcing

Responsibilities & Key Deliverables Key Responsibilities Al & ML Strategy for Strategic Sourcing

Partner closely with Purchasing, Commodity Teams, Supplier Quality, Cost Engineering, and Strategic Sourcing stakeholders to identify Al/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 Al roadmap aligned with organizational digital transformation goals.

Build scalable Al frameworks and reusable Al components for sourcing functions.

Al/ML Solution Development Design, develop, and deploy Al/ML applications for procurement and sourcing functions.

Develop predictive, prescriptive, and generative Al solutions using structured and unstructured enterprise data.

Build intelligent copilots and Al assistants for procurement users using LLM technologies.

Implement NLP models

Recommendation systems

Forecasting models

Supplier intelligence engines

Semantic search systems

Document intelligence solutions

Generative Al workflows

Create Al-enabled dashboards and analytical insights platforms.

Large Language Model (LLM) & GenAl 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 Al copilots with sourcing workflows and enterprise systems.

Develop prompt engineering frameworks and Al governance standards.

Evaluate open-source and commercial GenAl ecosystems for enterprise adoption.

Ensure responsible Al, security, compliance, and data governance.

Enterprise Systems Integration Lead Integration Of Al Applications With Enterprise Platforms Including SAP S/4HANA

Qlik Saas

3dexperience (3dx) PLM systems

Supplier portals

Internal analvtics 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 Al-powered web applications and user interfaces.

Build scalable front-end solutions using React.

Develop backend Al 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 Al opportunities.

Mentor data scientists, Al engineers, and analysts.

Drive vendor evaluations and technology partnerships.

Required Skills ['GENAI', 'AI/ML']

Additional Information