AI Techno Functional Analyst W2
Listed on 2026-11-06
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Engineering
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.
Job Title:
AI Techno-Functional Analyst
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- 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.
- 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.
- 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.
- 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.
- 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
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.
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