Data Governance & Quality Analyst

Summary

Join ServiceNow as a Data Governance & Quality Analyst/Engineer and drive strategy and execution across governance frameworks, data quality programs, and metadata tooling. Serve as a product owner for internal data governance platforms, partner with cross-functional teams, and promote a data stewardship culture. You will execute data governance strategy, manage data quality, and oversee governance tooling and product management. The role also involves cross-functional alignment, metadata and lineage management, regulatory compliance, and championing data stewardship best practices. Success requires experience in data governance, data quality, or metadata management in a fast-paced tech environment, proficiency in SQL and Python, and strong communication skills. This position offers the opportunity to work with a global market leader in innovative AI-enhanced technology.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• BA/BS in Mathematics, Statistics, Computer Science, Economics, Business or analytical field
• 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
• 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

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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
• 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