You will operate as a cross-functional leader, balancing long-term architecture with near-term delivery needs. Success in this role requires strong judgment, clear communication, and comfort navigating a matrixed organization. You will facilitate working sessions that align stakeholders on definitions, sourcing decisions, and product scope.

Job responsibilities 

• Audit relationships between data products to ensure entities, attributes, and models are consistently defined across domains
• Map cross-product dependencies and identify architectural gaps, redundancies, and misalignments
• Define and enforce semantic consistency for shared concepts, including definitions and lineage expectations
• Partner with data engineers and data modelers to establish standards for data quality, normalization, and maintainability
• Maintain an enterprise view of active data domains and ensure domain ownership and coverage are clear
• Lead domain completeness reviews and surface missing products and priority gaps to domain leaders
• Establish and maintain data product classifications (authoritative vs. derived; curated vs. raw; operational vs. analytical)
• Develop and maintain data sourcing strategies, including authoritative source identification and conflict resolution
• Facilitate discovery sessions and working groups to align scope, definitions, and sourcing plans
• Translate technical concepts into clear business language and drive decisions to closure
• Build and maintain a use-case repository to support roadmap planning, prioritization, and outcome measurement

Required qualifications, capabilities, and skills 

• 5 years of experience in data strategy, data architecture, data governance, or data product management in a complex enterprise environment
• Demonstrated ability to read and critique conceptual and logical data models (including entity-relationship modeling)
• Working knowledge of governance concepts, including domains, ownership, stewardship, master/reference data, lineage, and controls
• Demonstrated experience translating business requirements into data product requirements and specifications
• Experience partnering with engineering and product teams to deliver governed data products
• Experience working across multiple business functions and data domains in a matrixed environment
• Ability to lead workshops and stakeholder working sessions to align on definitions and scope
• Ability to identify authoritative data sources, resolve source conflicts, and document sourcing decisions
• Familiarity with data cataloging and/or modeling tools used in enterprise environments
• Strong written and verbal communication skills, including the ability to explain technical topics to non-technical audiences

Preferred qualifications, capabilities, and skills 

• Experience implementing enterprise-scale data governance programs and operating models
• Proficiency in SQL for data validation and issue triage
• Hands-on familiarity with tools such as Amazon Web Services, Erwin, Databricks, or Unity (or comparable platforms)
• Experience defining or operating data product taxonomies and certification/quality signals in a catalog
• Experience with metadata management frameworks and data lineage tooling
• Experience building or managing a use-case intake and prioritization process tied to measurable outcomes
• Exposure to master data management and reference data practices across domains

Lead data governance and architecture to deliver trusted, discoverable data products aligned to business needs.