Full-Time Staff Data Governance & Quality Specialist

As a Data Governance & Quality Lead, you’ll be responsible for driving strategy and execution across our governance frameworks, data quality programs, and metadata tooling. You will serve as a product owner for internal data governance platforms, partner with cross-functional teams to align on compliance and ownership standards, and promote a culture of data stewardship across the company.

What you get to do in this role:

• Data Governance Strategy Execution
• Drive the data governance roadmap aligned with product, engineering, and business goals.
• Design and implement scalable frameworks to ensure data trust, security, and platform reusability.
• Establish and maintain data ownership models with engineering, analytics, and product teams.
• Partner with Legal and cross-functional stakeholders to conduct data governance reviews.
• Coordinate policy awareness, adoption, and updates across teams.
• Data Quality Management
• Implement automated data quality checks across pipelines in partnership with dev teams.
• Monitor and manage key data quality KPIs using commercial or in-house DQ tooling.
• Collaborate with data engineers to manage schema validation, anomaly detection, and alerting.
• Resolve high-impact data issues that affect customer experience or metric integrity.
• Governance Tooling & Product Management
• Serve as product owner for data governance tooling and metadata platforms.
• Define and maintain roadmaps for internal data products related to lineage, cataloging, and governance workflows.
• Partner with engineering to integrate or scale metadata management and discovery solutions.
• Cross-Functional Alignment
• Work closely with engineering, data science, analytics, security, and legal teams to align governance practices.
• Translate data governance needs into clear technical and product requirements.
• Ensure business stakeholders (e.g., product managers, marketing, GTM) have access to trusted, well-documented data.
• Metadata & Lineage Management
• Oversee automated metadata and lineage tracking across data tools (e.g., PBI, Snowflake).
• Provide visibility into upstream/downstream data flows to support compliance and impact analysis.
• Regulatory Compliance & Risk
• Implement controls to ensure compliance with privacy/security regulations (e.g., GDPR, CCPA, SOC 2).
• Collaborate with Legal and Governance teams on data classification, access control, and audit readiness.
• Support and prepare for internal and external data audits.
• Culture & Enablement
• Champion data stewardship best practices across teams and functions.
• Lead data quality and governance education efforts for product and engineering orgs.
• Deliver dashboards, documentation, and scorecards to track data governance progress and adoption.

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 8+ years of experience in data governance, data quality, or metadata management in a fast-paced tech or SaaS environment.
• Strong experience working cross-functionally across engineering, analytics, product, and legal teams.
• Proficiency in SQL and Python, with practical experience using Snowflake for data processing and transformation
• Skilled in reporting and dashboard creation using Power BI
• Deep understanding of data governance principles and frameworks
• Demonstrated experience implementing and monitoring data quality programs at scale
• Familiarity with metadata tools and modern data platforms (e.g., dbt, Atlan, Monte Carlo, Collibra)
• Working knowledge of data privacy and compliance standards (e.g., GDPR, CCPA, SOC 2)
• Strong initiative and ownership mindset, with the ability to drive progress independently and proactively
• Excellent written and verbal communication skills, with the ability to influence across a wide range of stakeholders

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