Data Governance & Quality Analyst/Engineer

Employment Type: Full-time Location Type: Remote

Company Description

It 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.

Position Overview

We’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.

As a Data Governance & Quality Analyst/Engineer, 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.

Responsibilities

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...

Salary: (Not specified)