Define, maintain, and evolve the Enterprise Data Architecture blueprint, including:
Core enterprise data domains (Customer, Product/Material, Vendor, Pricing, Finance, Trade Compliance)
Conceptual and logical enterprise data models
Canonical data definitions and semantic
Act as Design Authority for all data‑related initiatives, ensuring alignment with enterprise architecture principles.
Define and enforce enterprise data standards (modeling, naming, semantics, integration).
Collaborate closely with Enterprise, Solution, and Integration Architects.
Master Data & MDM Strategy Ownership:
Own the enterprise Master Data Management (MDM) strategy and execution roadmap.
Define domain prioritization (e.g. Customer, Product/Material) and rollout phases.
Establish golden record, survivorship, hierarchy, and relationship‑management rules.
Lead the design and implementation governance of the selected MDM platform
Oversee data migration, cleansing, and harmonization activities linked to MDM adoption.
Data Governance & Data Quality:
Establish and run the Enterprise Data Governance operating model, including:
Data ownership and stewardship framework
Governance forums, decision bodies, and escalation mechanisms
Define and monitor enterprise data quality rules and KPIs (completeness, accuracy, uniqueness, timeliness).
Implement structured data issue management and remediation processes.
Ensure data lineage, traceability, and auditability for critical business and regulatory data.
Cross‑Platform Data Consistency & System‑of‑Record Definition
Define and maintain System‑of‑Record (SoR) / System‑of‑Engagement (SoE) principles across:
SAP (ERP, BW, GTS, Concur)
MES systems (e.g. Promis, Critical Manufacturing)
Quoting and pricing platforms
Finance, Treasury, AP automation, and EDI solutions
Resolve data ownership conflicts and duplication at enterprise level.
Ensure consistent and governed data synchronization patterns across systems.
Integration & Data Semantics Governance:
Define enterprise canonical data models and data contracts for cross‑system integrations.
Govern data flows implemented via SAP BTP, MuleSoft, and EDI platforms.
Define integration patterns (API, event‑driven, batch, EDI) from a data semantics, integrity, and lifecycle standpoint.
Ensure interface versioning discipline and backward compatibility.
Analytics & Reporting Alignment:
Ensure conformed dimensions and consistent master data usage across analytics and planning platforms (e.g. SAP BW).
Align enterprise data definitions with KPIs, reporting, and planning use cases.
Prevent multiple and conflicting versions of enterprise truth.
Translate architectural and governance decisions into executable implementation backlogs.
Review technical designs and ensure adherence to enterprise standards.
Coordinate delivery with internal teams and external partners.