We’re hiring a Lead Data Governance & Quality Analyst to strengthen how we define, manage, and trust enterprise Service & Operational data across platforms such as ServiceNow, Datadog, and other IT-related systems. In this role, you’ll own governance execution and data quality practices for core Service & Operational domains (e.g., IT Service Management (Incident, Problem, Change, Asset, CMDB, Request, Knowledge, SLAs/SLOs), observability telemetry (metrics, logs, events, synthetics, RUM). Where end-to-end service and operational metrics span multiple systems, you’ll partner partner with Customer Experience and Engineering teams (e.g., Salesforce, Azure DevOps) to align cross-domain definitions and quality requirements – driving outcomes through collaboration with business owners, data stewards, product teams, and engineering to ensure data is well-defined, measurable, compliant, and fit for purpose.
You’ll translate policy into action by establishing clear data definitions, ownership, and measurable controls – implementing data quality rules, monitoring, issue management workflows, and governance operating rhythms that improve decision-making, reduce risk, and enable scalable analytics and AI.