Lead Data Governance & Quality Analyst

Job title: Lead Data Governance & Quality Analyst

About the Role Lead governance execution for Service & Operational data domains across platforms such as ServiceNow, Datadog, and other IT-related systems. Own data quality practices, definitions, ownership, and controls to ensure data is well-defined, measurable, compliant, and fit for purpose, collaborating with Customer Experience and Engineering teams to align cross-domain definitions and quality requirements.

What You'll Do

• Lead governance execution for Service & Operational data domains, ensuring consistent definitions, ownership, and controls.
• Develop and maintain data quality standards: profiling, rule design, thresholds, completeness/accuracy/timeliness checks, and automated monitoring/alerting for priority datasets.
• Define and maintain data product expectations / contracts and partner with engineering to implement controls and alerts to ensure compliance.
• Partner with Data Owners and Stewards to define critical data elements, business glossaries, and data product/service expectations.
• Create and manage DQ scorecards and reporting, tying issues to business impact and tracking progress against KPIs; run a regular review cadence with owners/stewards to drive decisions and prioritization.
• Run data issue management with ITSM-style rigor: intake, triage, severity/priority definitions, root-cause analysis coordination, remediation tracking, and post-fix validation; prevent recurrence via upstream controls and process improvements.

What We're Looking For

• Proven experience in governance execution for enterprise Service & Operational data domains, with emphasis on data quality and compliance.
• Ability to develop and maintain data quality standards including profiling, rule design, thresholds, and automated monitoring.
• Experience defining data product expectations and contracts and working with engineering to implement controls.
• Strong collaboration with Data Owners and Stewards to define CDEs, glossaries, and data product expectations; experience across incident categorization, CI mapping, telemetry tags, and SLA clocks.
• Track record creating DQ scorecards, KPIs, and leading regular stakeholder reviews.
• Experience running data issue management with ITSM-like processes.
• Familiarity with cross-domain data alignment and working with platforms such as ServiceNow, Datadog, and other IT-related systems.

Nice to Have

• Hands-on experience with ServiceNow ITSM and Datadog or similar observability tools.
• Experience in cross-domain data modeling and data product governance.
• Prior hands-on data governance in enterprise environments.