Company DescriptionIt all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.Job DescriptionWe’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.RoleAs 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.
QualificationsTo 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. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
8+ years of experience in data governance, data quality, or metadata management in a fast-paced tech or SaaS environment. Or a Masters degree in a related field with 6+ years of experience; or PhD with 3 years of experience
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
