AI Techno Functional - Supply Chain Master Data -- 100% Remote -- W2 profiles

Role: AI Techno Functional analyst - Supply Chain Master Data: Location: 100% Remote

Key Responsibilities

• Supply Chain Master Data Management
• Demonstrate strong functional understanding of Supply Chain Master Data, including Material/Product, Customer, Vendor/Supplier, Plant, Bill of Materials (BOM), Unit of Measure (UOM), sourcing, procurement, and reference data.
• Understand master data creation, maintenance, governance, and lifecycle management across supply chain operations.
• Analyze relationships and dependencies between different master data objects.
• Identify data inconsistencies, duplication, missing attributes, and incorrect master data records.
• Understand the impact of master data changes on procurement, manufacturing, inventory management, logistics, and order fulfillment.
• Work with business teams to establish master data standards, ownership, and governance policies.
• SAP Master Data & Functional Expertise
• Possess hands-on experience working with SAP master data in SAP ECC or SAP S/4HANA environments.
• Understand SAP master data structures, dependencies, business rules, and validation requirements.
• Work with SAP functional teams across relevant modules such as SAP MM, SD, PP, and related supply chain processes.
• Analyze SAP master data fields, attributes, relationships, and integration dependencies.
• Identify data quality issues impacting SAP business transactions and downstream systems.
• Support master data validation, reconciliation, and remediation activities.
• Translate SAP functional requirements into clear technical and data specifications.
• Data Quality & Governance
• Identify and define Critical Data Elements (CDEs) across supply chain master data domains.
• Translate business requirements into measurable data quality rules and validation logic.
• Define data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and timeliness.
• Establish business rules and data validation checks for critical master data attributes.
• Identify root causes of data quality issues and recommend corrective actions.
• Develop data remediation workflows and exception-handling processes.
• Collaborate with data governance teams to establish data ownership, accountability, and quality standards.
• Monitor data quality metrics and provide recommendations for continuous improvement.
• AI & Intelligent Data Solutions
• Collaborate with AI/ML engineers and technical teams to identify opportunities for AI-driven master data quality improvements.
• Translate business problems into functional requirements for AI-powered data validation and remediation solutions.
• Identify opportunities to leverage AI and automation for duplicate detection, anomaly identification, data classification, and data enrichment.
• Support the design of intelligent data quality frameworks using business rules and AI-based validation approaches.
• Define business scenarios, expected outcomes, and acceptance criteria for AI-enabled solutions.
• Validate AI-generated recommendations and ensure alignment with business rules and supply chain requirements.
• Work with technical teams to improve data quality processes through intelligent automation.
• Business Analysis & Stakeholder Management
• Engage with supply chain business stakeholders to understand existing processes, challenges, and data requirements.
• Conduct requirement-gathering sessions and translate business needs into functional specifications.
• Prepare business requirement documents (BRDs), functional requirement documents (FRDs), process flows, and use cases.
• Coordinate with SAP functional consultants, data engineers, data architects, and AI development teams.
• Facilitate discussions between business and technical teams to ensure clear understanding of requirements.
• Support functional testing, user acceptance testing (UAT), and business validation.
• Communicate project progress, risks, dependencies, and implementation updates to stakeholders.

Required Skills & Qualifications

• Strong experience in Supply Chain Master Data Management.
• Hands-on knowledge of SAP master data and related business processes.
• Strong understanding of Material/Product, Customer, Vendor/Supplier, Plant, BOM, and UOM master data.
• Knowledge of sourcing, procurement, and supply chain operations.
• Understanding of SAP ECC and/or SAP S/4HANA.
• Familiarity with SAP MM, SD, and PP modules.
• Experience defining Critical Data Elements (CDEs).
• Strong knowledge of Data Quality, Data Governance, and Master Data Management (MDM).
• Ability to define business validation rules, data quality checks, and remediation workflows.
• Experience translating business requirements into functional and technical specifications.
• Understanding of AI/ML concepts and their application in enterprise data management.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Skills

• Experience with AI-driven data quality and master data management initiatives.
• Knowledge of Generative AI, Machine Learning, and intelligent automation.
• Experience with SAP MDG (Master Data Governance).
• Familiarity with data governance and quality platforms.
• Knowledge of SQL and enterprise data platforms.
• Experience with SAP integration and downstream data dependencies.
• Experience working in Agile project environments.