AI Techno Functional Analyst :: W2 Only

Job Title: AI Techno-Functional Analyst

Location: New Jersey, USA/Remote

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

1. 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.

2. 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.

3. 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.

4. 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.