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Job Summary
The Principal Enterprise Steward & Semantic Layer Lead is the strategic expert focused on defining meaning, usage, and quality of enterprise data aligned with the Enterprise Data & Analytics Office. They work closely with business and IT teams to ensure the quality, integrity, and governance of data assets across the enterprise. This individual serves as a conduit between business strategy and technical execution, ensuring a “single source of truth” through modeling business concepts into a governed, consumable semantic layer.
Job Description
Key Accountabilities
Semantic Layer & Model Governance
•Set the vision for enterprise ontologies and semantic models to unify business concepts across data domains and data products; ensure business contextual representations of data
•Advise and/or develop enterprise semantic layer and business logic abstractions for analytics & AI readiness, collaborating with architects, business stakeholders and technical product and modeling teams
•Ensure business rules and KPIs are identified and incorporated into the semantic layer
Data Governance
•Manage new data initiatives and approved data use cases; prioritizing and defining requirements for data domains and key data elements with domain teams
•Onboard, coordinates with and supports domain teams to ensure application of policies & standards; performs check-ins with domain teams for ongoing domain sustainability efforts
Data Catalog
•Define/Validate requirements for data elements and populate the enterprise data catalog
•Review and refresh (as required) data lineage, and business and technical metadata
Data Quality
•Define quality rules for data within domain
•Oversee remediation of data quality issues in partnership with data stewards & custodians
Education, Experience, & Skill Requirements
•12+ years minimum of progressive experience in data discipline such as data engineering, data governance, data architecture or a related area
•Experience gained through college degree programs and/or certifications in Information Systems, Computer Science, Data Management, Data Architecture & Design
•Experience with semantic layer technologies (e.g., dbt, databricks), SQL, data dimensional modeling and BI tools
•Demonstrated project management experience designing and implementing data and semantic layer governance initiatives in a management role
•Expertise in data management concepts, data governance frameworks, and data quality principles
•Experience with data catalog, data management and data quality tools (e.g., Alation catalog, Alation marketplace, Big Eye)
•Strong interpersonal and communication skills; Ability to effectively and persuasively communicate standards, practices, and initiatives to drive data and semantic layer governance throughout the organization
•Ability to liaise with data owners, data stewards and data consumers on both business and technical levels, translating business requirements into technical requirements
•Knowledge of data sources, transformation rules, and uses of data for the area of data stewardship
•Experience in performance management metrics
Expertise in developing and managing metadata.
Key Metrics
•Operational Excellence: Streamline and Simplification of solution portfolio.
Continuous Improvement: Increased cost efficiency in solution delivery.
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Job Family
Information Technology
Company
Vistra Corporate Services Company
Locations
Irving, Texas
Texas
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If you currently work for Vistra or its subsidiaries, please apply via the internal career site.
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