Master Data Architect

## Master Data Architect Apply locations:
Marysville, OH:
Virtual time type:
Full time posted on:
Posted Yesterday job requisition :
R25891

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!
** 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.
** Key Responsibilities*
* ** 1. 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).
** 2. 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.
** 3. 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…