Lead Data Governance & Quality Analyst

About the role

Lead Data Governance & Quality Analyst role at Thomson Reuters focuses on defining, managing, and ensuring trust in enterprise Service & Operational data across platforms like ServiceNow, Datadog, and other IT systems. The analyst will own governance execution, develop data quality standards, create data product contracts, partner with data owners and stewards, manage DQ scorecards, run issue management, support metadata cataloging, enforce compliance and privacy controls, influence upstream processes, contribute to governance operating model, and facilitate governance forums. The role requires strong SQL, data pipeline knowledge, cross‑functional collaboration, and hands‑on profiling and rule creation. Preferred experience includes governance frameworks, Alation, ServiceNow data model, observability telemetry, and AI/ML environments. The position is hybrid in Bengaluru, Karnataka, India, with 5+ years of experience, and offers flexible work, career development, and comprehensive benefits.

What you’ll do

• Lead governance execution for Service & Operational data domains
• Develop and maintain data quality standards and automated monitoring
• Define and maintain data product contracts and compliance controls
• Partner with data owners and stewards on critical data elements
• Create and manage DQ scorecards and KPI tracking
• Run data issue management with ITSM rigor
• Support metadata management: lineage, classifications, retention
• Ensure compliance and responsible data use with privacy/security
• Influence upstream processes to reduce defects
• Contribute to governance operating model and playbooks
• Facilitate governance forums and decision logs
• Partner with Service Management, SRE, Engineering, Data & Analytics

What you’ll bring

• 5+ years data governance/quality/analytics lead experience
• Proven data quality controls: profiling, rules, monitoring, scorecards
• Deep data governance concepts: ownership, CDEs, metadata, lineage
• Advanced SQL, semi‑structured data handling
• Data pipeline knowledge: APIs, ELT/ETL, streaming, batch
• Cross‑functional stakeholder collaboration
• Strong documentation, facilitation, communication
• Hands‑on profiling, SQL checks, definition documentation

Nice to have

• Governance frameworks (DAMA/DMBOK) familiarity
• Alation or similar catalog platform experience
• Workflow tools (ADO, ServiceNow) experience
• ServiceNow data model or observability telemetry knowledge
• Service reliability metrics definition (MTTR, SLA)
• Privacy/security, PII, retention, access governance
• AI/ML or BI data trust support

Skills

Benefits

• Hybrid work model, 2-3 days office
• Flexibility & work‑life balance, up to 8 weeks remote
• Career development, continuous learning
• Competitive benefits: vacation, mental health days, Headspace, retirement, tuition, incentives
• Inclusive culture, values of customer obsession, win, challenge, fast learning
• Social impact: volunteer days, ESG initiatives
• Real‑world impact: support justice, truth, transparency