MDM Data Architect with SAP

Key Responsibilities

• Discovery and Interviews:

• Conduct interviews with business users, data stewards, IT teams, and stakeholders to gather requirements on contract management data (rebates, chargebacks, pricing, and compliance).

• Understand existing data models, pain points, and areas of improvement across MDM systems.

• Evaluate key SAP components, including integration with systems like SAP S/4HANA, SAP MDG, or ECC.

• MDM Strategy & Design: Analyze the current state, identify the gaps and document the future state

• Data Integration:

• Evaluate and recommend optimal integration strategies between MDM systems, SAP, and non-SAP applications (e.g., CRM, ERP).

• Design and map data flows between SAP Contract Management, Rebates, and Chargeback systems and MDM repositories.

• System Design and Requirements Gathering:

• Define functional and non-functional requirements for MDM implementation specific to contract management.

• Document technical and business metadata for SAP master data objects, including contract terms, customers, and pricing elements.

• Collaboration and Stakeholder Engagement:

• Act as a bridge between business and technical teams, ensuring alignment of MDM capabilities with enterprise data strategy.

• Lead design workshops and facilitate discussions on pain points related to MDM and contract management.

• Governance and Quality:

• Define processes for data stewardship and ownership in alignment with MDM best practices.

• Ensure ongoing monitoring of data quality, validation, and enrichment efforts.

Required Skills And Experience

• 12+ years of experience as a Data Architect or similar role with a focus on MDM and enterprise data design.
• Strong experience with MDM solutions such as SAP MDG,
• Hands-on experience in SAP modules, including SAP S/4HANA, SAP ECC, related to contract and revenue management.
• Familiarity with contract management data flows: rebates, chargebacks, pricing, and agreements.
• Knowledge of MDM principles, including data modeling, data quality, and governance frameworks.
• Strong analytical skills with the ability to gather and document requirements through interviews and workshops.
• Experience designing data integration solutions involving ETL/ELT, APIs, and messaging frameworks.
• Knowledge of cloud-based data platforms (e.g., Snowflake, GCP, AWS) is a plus.