Digitization and Analytics Manager - Strategic Sourcing

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.

Preferred Industries

AutomobileFarm 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

 

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Enterprise Systems

 

Strong knowledge of:

 

SAP S/4HANA

 

Qlik SaaS

 

3DEXPERIENCE (3DX)

 

Enterprise data lakes

 

API integrations

 

Middleware systems

 

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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)

 

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Data & Analytics

 

SQL and enterprise data modeling expertise

 

Experience handling large-scale enterprise datasets

 

Dashboarding and analytical platform integration experience

 

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Preferred Industry Knowledge

 

Automotive purchasing and sourcing processes

 

BOM and cost structure understanding

 

Supplier ecosystem management

 

Manufacturing digital transformation

 

Procurement analytics and spend management

 

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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 ThinkingCommunication SkillsInfluencing SkillsProject Planning & ExecutionRisk AnalysisSupplier SelectionPricingPrice OptimizationSupplier Risk ManagementSourcingStrategic SourcingBenchmarking

System Generated Secondary Skills

NegotiationProject ManagementSupplier Management

Experience Level

Mid Level