Master Data Architect

Scotts Miracle-GroMarysville, OH
$125,000 - $147,100

About The Position

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/4HANA 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.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Finance, or a related field (Master’s degree preferred).
  • 10+ years of progressive experience in Enterprise Data Architecture and Master Data Management (MDM).
  • 5+ years of hands-on experience with SAP S/4HANA, with a proven track record of serving as the Data or Architecture Lead on at least one completed, full-lifecycle ECC to S/4HANA migration (inclusive of cutover management).
  • Deep technical knowledge of SAP MDG, SAP BTP (Integration Suite), and SAP Datasphere.
  • Strong proficiency in SAP Activate methodology, Fit-to-Standard delivery, and Clean Core compliance.
  • Mastery of SAP Simplification Lists, ABAP Cloud extensibility models, and CDS Views for data exposure.
  • Strong understanding of ERP data structures, with specific expertise in the SAP Finance data model (Universal Journal, G/L, Cost/Profit Centers), alongside Material and Business Partner models.
  • Expert-level knowledge of data profiling tools, data lineage, and ETL/ELT data pipelines.
  • Candidates must possess at least one of the following industry-recognized certifications: SAP Certified Application Associate - Master Data Governance (SAP MDG) or Certified Data Management Professional (CDMP) (Master or Practitioner level).
  • Ability to translate complex corporate strategies into pragmatic, scalable technical data architectures.
  • Exceptional communication skills with the ability to articulate complex technical data concepts to non-technical, executive stakeholders (VP and C-suite levels).
  • Resilient leader capable of driving process and data transformation across deeply entrenched legacy business practices.

Nice To Haves

  • Master’s degree

Responsibilities

  • Define and own the target-state master data architecture for the SAP ECC to S/4HANA 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/4HANA best practices and long-term data strategy.
  • Analyze the SAP Simplification List to identify deprecated objects, mandatory conversions, and architectural changes, translating them into actionable master data roadmaps.
  • 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.
  • 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).
  • Lead the architectural design and structural alignment of Finance master data for S/4HANA, specifically guiding the Universal Journal (ACDOCA) restructuring of General Ledger (G/L) accounts, profit centers, and cost centers.
  • Establish and maintain standard data models for Business Partner (incorporating Customer/Vendor integration), Material, and Finance domains to ensure cross-functional data integrity.
  • 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.
  • 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.
  • 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.
  • Partner with business data stewards to define data quality KPIs and the catalog of S/4HANA 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.
  • Act as the primary technical advisor to the VP, Data Intelligence & AI, and collaborate closely with Finance, Supply Chain, and Commercial business leaders.
  • Provide technical mentorship and architectural guidance to data engineers, analysts, and external implementation partner resources.
  • Foster an organizational culture of data ownership, designing workflows that empower data stewards to maintain high-quality data post-migration.

Benefits

  • medical coverage
  • dental coverage
  • vision coverage
  • wellness reimbursement program
  • 401K match (up to 7.5%)
  • 15% discount on company stock
  • Maven Family Planning
  • up to $30,000 to accommodate for adoption, fertility and surrogacy
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