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About the Role
Define, evolve, and govern the enterprise-wide North Star Data Model to ensure data consistency, interoperability, discoverability, and reusability across various business domains, products, analytics, and AI use cases. This role bridges business concepts and data implementation, focusing on the connective tissue between domain models.
Responsibilities
- Establish the enterprise North Star Data Model.
- Define and maintain enterprise conceptual, logical, and physical data models across core business domains.
- Establish canonical business entities, shared dimensions, reference data, identifiers, relationships, and lifecycle states.
- Create a pragmatic model that supports domain autonomy while enabling cross-domain analysis and data sharing.
- Maintain an enterprise ontology, business glossary, and semantic definitions.
- Design for reuse, extensibility, regional variation, and future use cases.
- Model the Bronze, Silver, and Gold data layers.
- Define modeling principles and required artifacts for each layer.
- Ensure traceability from Gold metrics and business concepts back through Silver transformations to authoritative Bronze sources.
- Define clear rules for concept placement within different model types.
- Review and guide physical implementations for performance, maintainability, cost, privacy, and scale.
- Enable data products and delivery teams by partnering with Product Managers and domain leaders.
- Partner with Data Engineers to define schemas, transformations, mappings, data contracts, and implementation patterns.
- Partner with BI developers to create governed semantic models, reusable measures, and self-service-ready datasets.
- Facilitate architecture and design reviews.
- Provide model patterns, templates, and coaching to enable independent team delivery.
- Govern for trust, security, and global scale by embedding data quality, lineage, ownership, retention, security classification, privacy-by-design, and access-control requirements.
- Model regional, regulatory, language, currency, and local-business variations.
- Define stewardship and decision rights for enterprise entities, metrics, and reference data.
- Maintain model documentation and metadata in the organization’s data catalog and modeling tools.
- Measure adoption, reuse, quality, coverage, and exceptions to drive continual improvement of the North Star model.
Requirements
- 7+ years of experience in data modeling, data architecture, data engineering, analytics engineering, or related disciplines.
- Demonstrated experience designing conceptual, logical, and physical models for complex, multi-domain data platforms.
- Experience defining or evolving an enterprise data model, canonical model, semantic layer, ontology, or common data model.
- Strong understanding of dimensional modeling, normalized modeling, data vault or equivalent integration patterns, and lakehouse/warehouse design.
- Experience designing models for raw, standardized, and consumption-ready data layers in a modern cloud data platform.
- Proven ability to translate business concepts into unambiguous data definitions, models, mappings, and implementation guidance.
- Practical expertise in metadata, lineage, data quality, data governance, master/reference data, and data privacy.
- Strong facilitation and communication skills; able to influence senior stakeholders and delivery teams without relying on direct authority.
- Experience with Databricks, Delta Lake, Unity Catalog, Snowflake, or comparable cloud data platforms.
- Experience with a data catalog, modeling tool, and metadata-management platform.
- Experience supporting global products and multi-region data, regulatory, or data-residency requirements.
- Experience designing semantic models and governed metrics for BI, natural-language data experiences, or AI applications.
- Experience in a regulated, high-scale, or operationally sensitive environment.
Skills
- Data Modeling
- Data Architecture
- Data Engineering
- Analytics Engineering
- Conceptual Modeling
- Logical Modeling
- Physical Modeling
- Enterprise Data Modeling
- Canonical Modeling
- Semantic Layer Design
- Ontology Development
- Common Data Model Design
- Dimensional Modeling
- Normalized Modeling
- Data Vault
- Lakehouse Design
- Warehouse Design
- Cloud Data Platforms
- Metadata Management
- Data Lineage
- Data Quality
- Data Governance
- Master Data Management
- Reference Data Management
- Data Privacy
- Facilitation
- Communication
- Stakeholder Influence
- Databricks
- Delta Lake
- Unity Catalog
- Snowflake
- Data Catalog Tools
- BI Tools
- AI Applications
Experience Level
- Senior
Salary/Compensations
- USD 165000 - USD 195000 - yearly
Benefits
- Health insurance
- Retirement plans
- Paid time off
About the Company
- VERSANT is a leading force in news, sports and entertainment, home to iconic and trusted brands that inspire, inform, and delight audiences.
- Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most.
- As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine.
- VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit.
- With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world.
Equal Opportunity
- VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
- If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].