Job Overview
We are looking for an experienced AI Techno-Functional Analyst with a strong background in SAP Supply Chain Master Data, Data Quality Management, and AI/Agentic AI technologies.
The ideal candidate should possess a combination of functional knowledge in supply chain master data, technical expertise in data analysis and automation, and hands-on experience developing AI-powered agents.
The candidate will be responsible for leveraging AI capabilities to improve data quality, identify anomalies, automate validation processes, and recommend intelligent remediation solutions.
Key Responsibilities & Required Skills
- Supply Chain Master Data Management
- Strong understanding of supply chain master data, including Material/Product, Customer, Vendor/Supplier, Plant, BOM, UOM, sourcing, and procurement data.
- Hands-on experience working with SAP master data and understanding data dependencies, validation rules, and downstream business impacts.
- Ability to translate business requirements into Critical Data Elements (CDEs), data quality rules, validation logic, and remediation workflows.
- Understand master data relationships and identify inconsistencies across different business systems.
- Data Quality Management
- Experience in data profiling, data analysis, and identifying data quality issues across multiple business portfolios.
- Design and implement preventive and detective data quality controls.
- Develop data quality dashboards, scorecards, and automated validation frameworks.
- Automate recurring data quality checks and monitoring activities.
- Perform root-cause analysis, issue management, and data remediation.
- Establish effective data quality standards and monitoring processes.
- AI & Agentic AI Development
- Hands-on experience working with Large Language Models (LLMs), RAG, GraphRAG, and tool/function calling.
- Experience developing AI agents and implementing multi-agent orchestration.
- Ability to integrate AI agents with enterprise systems, APIs, and external tools.
- Strong experience with Python, SQL, and REST API development.
- Hands-on exposure to Azure OpenAI and Microsoft Copilot Studio.
- AI-Powered Data Quality Automation
- Develop AI agents capable of profiling and analyzing supply chain master data.
- Implement AI-driven anomaly detection to identify data inconsistencies and quality issues.
- Build intelligent solutions to recommend data quality rules and validation logic.
- Enable AI agents to explain data quality failures and suggest appropriate remediation actions.
- Integrate human-in-the-loop approval mechanisms to ensure controlled and reliable data remediation.
- Identify opportunities to leverage Agentic AI for improving enterprise data quality processes.
Required Technical Skills
- SAP Supply Chain Master Data / SAP MDG / MDM
- Material, Customer, Vendor, Plant, BOM, and UOM
- Data Quality Management and Data Governance
- Data Profiling and Data Validation
- Agentic AI and AI Agent Development
- LLM, RAG, and GraphRAG
- Multi-Agent Orchestration
- Azure OpenAI and Microsoft Copilot Studio
- Python, SQL, and REST APIs
Ideal Candidate Profile
The ideal candidate will be a techno-functional professional who understands SAP Supply Chain Master Data and enterprise data quality processes, along with practical experience in developing AI agents and LLM-based applications.
Candidates should be able to bridge the gap between business requirements and technical implementation by using AI-driven automation to improve data quality, monitoring, analysis, and remediation.