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We are seeking an experienced Senior Data Governance Lead to drive the next phase of our data governance evolution. This role is ideal for a hands-on leader who can translate abstract governance concepts into clear taxonomies, measurable data rules, and enforceable quality standards that scale across the organization. You will help to lead a taxonomy and rules transformation—establishing shared definitions, structured classification systems, and outcome-driven data quality rules that directly improve data trust, usability, and business impact. This role partners closely with data, product, engineering, operations, and analytics teams to embed governance into how data is designed, produced, and consumed—not as overhead, but as enablement. This role is critical to building long-term data governance muscle across the organization by equipping teams with practical frameworks, guidance, and repeatable ways of working.
Job Responsibility:
Lead the design and governance of an enterprise taxonomy and data rule framework, including business terms, entities, products, and classification hierarchies that support consistent data use
Translate business needs into clear, objective, and measurable data and quality rules that can be implemented, tested, and monitored
Develop governance frameworks that connect taxonomy → business rules → data quality standards → measurable outcomes
Partner with data engineering, analytics, and product teams to embed governance requirements into data pipelines, tooling, and workflows
Establish standards for rule authoring, validation, conflict detection, and lifecycle management
Drive clarity and consistency in definitions, metadata, and documentation across domains
Support the creation of data quality metrics, thresholds, and reporting aligned to business use cases
Coach and enable data owners, stewards, analysts, and associates to apply governance standards confidently and consistently
Contribute to governance operating models, playbooks, and training materials designed for both technical and non-technical audiences
Act as a thought partner on governance best practices, tooling needs, and maturity progression
Requirements:
5–10 years of experience in data governance, data management, data quality, analytics, or data operations
Proven experience designing or implementing taxonomy frameworks, classification systems, or business term definitions
Strong ability to translate complex business concepts into structured, objective rules
Experience working cross-functionally with data engineering, analytics, product, and operational teams
Demonstrated success moving organizations from ad hoc or narrative governance toward structured, standards-based approaches
Familiarity with data quality dimensions (e.g., accuracy, completeness, timeliness, consistency) and how to operationalize them
Knowledge of or certification in DAMA / DMBOK is a strong plus
Comfort operating in environments with evolving maturity and ambiguity