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 manage governance tooling. Responsibilities include collaborating with engineering, data science, analytics, security, and legal teams. You will also oversee metadata and lineage tracking, ensure regulatory compliance, and champion data stewardship best practices. This role requires experience in data governance, data quality, or metadata management, proficiency in SQL and Python, and strong communication skills.

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