AI Techno-Functional Analyst -- 100% Remote -- Only W2

Job Title: AI Techno-Functional Analyst
Location: Remote
Key Responsibilities
1. Supply Chain Master Data

• Understand and analyze supply chain master data, including Material/Product, Customer, Vendor/Supplier, Plant, Bill of Materials (BOM), and Unit of Measure (UOM).
• Work with SAP master data, data dependencies, validation rules, and downstream business processes.
• Translate business requirements into Critical Data Elements (CDEs), data quality rules, and validation logic.
• Identify master data issues and recommend appropriate remediation strategies.

2. Data Quality Management

• Perform data profiling and analysis to identify inconsistencies, anomalies, and quality issues.
• Design preventive and detective data quality controls.
• Develop and maintain data quality dashboards, scorecards, and automated validation frameworks.
• Conduct root cause analysis and coordinate data issue remediation.
• Automate recurring data quality checks and monitoring processes.

3. AI and Agentic AI Development

• Develop AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and GraphRAG.
• Build AI agents and multi-agent workflows to automate data profiling, anomaly detection, and data quality analysis.
• Implement tool/function calling and integrate AI agents with enterprise systems through APIs.
• Use AI to recommend data quality rules, explain validation failures, and suggest remediation actions.
• Implement human approval controls for AI-driven remediation workflows.

4. Technical Skills

• Strong programming skills in Python and SQL.
• Experience with REST APIs and enterprise system integrations.
• Hands-on experience with Azure OpenAI and Microsoft Copilot Studio.
• Knowledge of LLM-based applications, AI agent frameworks, and multi-agent orchestration.
• Ability to translate functional and business requirements into scalable technical solutions.

Required Skills

• SAP Supply Chain Master Data Management.
• Material, Product, Customer, Vendor, Plant, BOM, and UOM data.
• Data Profiling, Data Quality Rules, and Data Remediation.
• Critical Data Elements (CDEs) and Data Quality Controls.
• LLMs, RAG/GraphRAG, and Agentic AI.
• Python, SQL, and API Development.
• Azure OpenAI and/or Microsoft Copilot Studio.

Preferred Qualifications

• Experience implementing AI-driven data quality solutions.
• Experience integrating AI agents with SAP or other enterprise systems.
• Understanding of data governance, data lineage, and master data dependencies.
• Experience with automated anomaly detection and data quality monitoring.