Master Data Architect

Position Summary

The Lead Architect - Master Data is a high-impact, senior technical leadership role responsible for defining and driving the global master data architecture strategy. As we undergo a critical transformation from SAP ECC to S/4

HANA Cloud, this role will serve as the primary architect ensuring data readiness, governance, and seamless integration across enterprise domains.

Reporting directly to the VP, Data Intelligence & AI, you will lead the architectural design and execution for core data domains, including Business Partner (Customer/Vendor), Material, and Finance
. You will bridge the gap between business strategy and technical execution, championing SAP Best Practices, Clean Core principles, and modern data management frameworks to build a resilient foundation for enterprise AI and analytics.

• Enterprise Architecture & S/4
  
  HANA Migration Strategy (35%)
• Migration Leadership:
  Define and own the target‑state master data architecture for the SAP ECC to S/4
  
  HANA Cloud migration. Serve as design authority for the master data workstream — setting data models, conversion standards, and migration design principles aligned to SAP Activate. Provide architectural guidance in Fit-to-Standard workshops for data domains, ensuring decisions align with S/4
  
  HANA best practices and long-term data strategy.
• Simplification & Adaptation:
  Analyze the SAP Simplification List to identify deprecated objects, mandatory conversions, and architectural changes, translating them into actionable master data roadmaps.
• Clean Core Architecture:
  Architect master data solutions adhering to Clean Core / ABAP Cloud extensibility frameworks, prioritizing Side-by-Side or Key User extensibility over classic ABAP custom modifications.
• Integration & Exposure:
  Design modern data exposure and consumption models leveraging Core Data Services (CDS) Views and the SAP Business Technology Platform (BTP) ecosystem (including Integration Suite and Event Mesh).
• Finance & Cross-Domain Master Data Design (25%)
• Finance Domain Architecture:
  Lead the architectural design and structural alignment of Finance master data for S/4
  
  HANA, specifically guiding the Universal Journal (ACDOCA) restructuring of General Ledger (G/L) accounts, profit centers, and cost centers. Multi-Domain Governance:
  Establish and maintain standard data models for Business Partner (incorporating Customer/Vendor integration), Material, and Finance domains to ensure cross-functional data integrity.
• Platform & Solution Design:
  Evaluate, select, and design the master data governance solution — whether SAP MDG, a lighter-weight workflow built on SAP BTP (Build Process Automation, Fiori, CDS), or a hybrid approach — sized appropriately to the company's scale and complexity. Define the blueprint for governance workflows, stewardship, request/approval processes, and consolidation patterns across master data domains, leveraging SAP Datasphere for downstream integration and analytics alignment.
• End-to-End Data Cleansing & Migration Readiness (20%)
• Cleansing Framework Design:
  Define the methodology and standards for the multi-phase data cleansing lifecycle — profiling, remediation, re-profiling, and sign-off — establishing the architectural guardrails and quality gates that the cleansing program executes against.
• Data Quality Tooling & Standards:
  Select and architect the data profiling and automated remediation tooling stack. Define acceptance criteria, validation rule libraries, and migration readiness thresholds that govern when data is approved for conversion.
• Quality KPIs & Validation Standards:
  Partner with business data stewards to define data quality KPIs and the catalog of S/4
  
  HANA target validation rules. Establish the measurement framework used to assess migration readiness; execution against those KPIs is owned by the data quality lead and stewards.
• Team Leadership, Governance & Partnership (20%)
• Strategic
  
  Collaboration:
  
  Act as the primary technical advisor to the VP, Data Intelligence & AI, and collaborate closely with Finance, Supply Chain, and Commercial business leaders.
• Team Development:
  Provide technical mentorship and architectural guidance to data…