Enterprise Data Architect

Enterprise Data Architect   Role Summary   The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data model, the governed master data foundations, and the attribution logic that connects Business Unit, HQ, and retailer data into one trusted, reusable enterprise view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data Engineering team executes against, and codifies those standards into documented, governed rules. This role is central to building a scalable, AI-ready enterprise data foundation.

Enterprise Data Model & Master Data Foundations   Own the enterprise data architecture blueprint and standardized data model, expandable across POS use cases.   Own the governed master data foundations — Product, Retailer, Geographic, and Calendar.   Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering.   Evaluate and lead implementation of master data management tools and processes to support the governed master data foundations.   Attribution & Harmonization   Define and maintain the BU to HQ to retailer attribution crosswalk as the enterprise standard.   Codify attribution logic into governed rules with clear ownership and change-approval processes.   Approve hierarchy changes, mapping exceptions, and material structural changes.   Actively curate product hierarchies and attribution mappings as ongoing operational activities, with the Business Data Analyst supporting attribution stewardship, use case validation, and downstream impact analysis.   Data Quality, Standards & Technical Governance   Set harmonization, modeling, and data-quality standards, including validation guidelines.   Enforce policies for data engineering, integration, security, and compliance.   Monitor day-to-day data quality, investigate root causes, and drive resolution with Data Engineering and business stakeholders, with the Business Data Analyst supporting quality validation and consumer follow-up.   Curate the enterprise data catalog, including definitions, lineage, and metadata, as an ongoing discipline.   Design Integrity for Requests, Enhancements & Delivered Work   Serve as the design-authority checkpoint on incoming requests and enhancements, confirming work fits the enterprise model and standards.   Approve architectural approaches before   build   begins.   Partner with the Data Engineering Leader on delivery reviews and on escalated issues that touch the model, masters, or attribution.   Provide design-integrity oversight of release management for engineering enhancements, requests, and projects, confirming released work aligns with the enterprise model and standards while the Data Engineering Leader owns the operational execution.   Technical Leadership & Investment Guidance   Provide technical direction on masters, attribution, ingestion patterns, and modeling standards.   Coach engineers on modeling discipline and enterprise design principles.   Contribute to strategic planning, talent, tooling, and vendor evaluations.   Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools.   Documentation & Knowledge Management   Own the documented definition of the enterprise data model, masters, and attribution rules.   Establish documentation standards for models, attribution logic, and modeling decisions, in partnership with the Data Engineering Leader.   Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes.   Champion a “documented once, reused everywhere” culture across the team.   How You'll Partner   (may not need in final   posting but good context)   Data Engineering Leader and Data Engineers:   Provide specs, standards, and design authority. Partner on delivery reviews and issue resolution.   BI Delivery Leader and BI