Lead Data Governance & Quality Analyst

Job title: Lead Data Governance & Quality Analyst

About the Role We are hiring a Lead Data Governance & Quality Analyst to strengthen how Thomson Reuters defines, manages, and trusts enterprise Service & Operational data across platforms such as ServiceNow, Datadog, and other IT-related systems. You will own governance execution and data quality practices for core Service & Operational domains, partnering with Customer Experience and Engineering teams to align cross-domain definitions and quality requirements, driving data that is well-defined, measurable, compliant, and fit for purpose.

What You'll Do

• Lead governance execution for Service & Operational data domains (e.g., Incident/Problem/Change/Request, Observability/Telemetry, Availability/SLA/SLO)
• 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 (schema, definitions, freshness, SLAs/SLOs, usage guidance) and partner with engineering to implement controls and alerts to ensure compliance
• Partner with Data Owners and Stewards to define critical data elements (CDEs), business glossaries, and data product/service expectations (e.g., incident categorization, assignment group, CI mapping, SLA clocks, telemetry tags)
• 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

What We're Looking For

• Experience leading data governance and data quality initiatives across Service & Operational domains
• Strong ability to define data definitions, ownership, and controls
• Experience designing and implementing data quality rules, profiling, thresholds, completeness/accuracy/timeliness checks, and automated monitoring/alerting
• Experience defining data product contracts and coordinating with engineering to enforce controls and alerts (SLA/SLO)
• Ability to partner with Data Owners and Data Stewards to define CDEs, glossaries, and data product expectations
• Experience creating DQ scorecards and tying issues to business impact with KPI tracking
• Experience managing data issues with ITSM-style processes (intake, triage, RCA, remediation, post-fix validation)
• Familiarity with ServiceNow, Datadog, Salesforce, Azure DevOps or similar platforms; strong cross-functional collaboration
• Excellent communication and stakeholder management skills

Nice to Have

• Experience with cross-domain data programs in large enterprises
• Exposure to telemetry/observability data and data pipelines
• Familiarity with incident categorization, telemetry tagging, and CI/CD integration
• Exposure to managing data quality in AI/analytics contexts