# Lead Data Governance & Quality Analyst – Service & Operational Data

**Company**: Thomson Reuters
**Location**: Gdansk
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 178,500 PLN - 331,500 PLN
**Category**: Data Science
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/Poland-Gdansk/Lead-Data-Governance---Quality-Analyst_JREQ198463?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_082e7dd7-fdb

## Description

We are seeking 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.

As our Lead Data Governance & Quality Analyst, you will:

- Lead governance execution for Service & Operational data domains, ensuring consistent definitions, ownership, and controls.

- Develop and maintain data quality standards, including profiling, rule design, thresholds, completeness/accuracy/timeliness checks, and automated monitoring/alerting for priority datasets.

- Define and maintain data product expectations/contracts, including 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, 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 data issue management with ITSM-style rigor, including intake, triage, severity/priority definitions, root-cause analysis coordination, remediation tracking, and post-fix validation.

- Support metadata management, including lineage, definitions, classifications, retention, and usage documentation in data catalog tools.

- Ensure compliance and responsible data use by applying privacy/security classifications, access controls, and audit-ready documentation.

- Influence upstream processes to prevent defects and reduce rework.

- Contribute to governance operating model, including standards, playbooks, training, and change management to increase adoption across teams.

- Facilitate governance forums and drive decisions on definitions, quality thresholds, and prioritization.

To be successful in this role, you will likely have:

- 5+ years in data governance, data quality, analytics, or related data management roles.

- Demonstrated experience defining and implementing data quality controls and partnering with teams to operationalize them.

- Strong knowledge of data governance concepts, including data ownership/stewardship, CDEs, metadata, lineage, data lifecycle, and controls.

- Advanced SQL skills and comfort analyzing data in relational warehouses/lakes.

- Working knowledge of data pipelines and common failure modes.

- Experience working cross-functionally with business partners and technical teams.

- Strong documentation, facilitation, communication, and stakeholder management skills.

What Success Looks Like (First 6–12 Months):

- Established clear ownership and definitions for priority Service & Operational datasets and critical data elements.

- Implemented automated DQ monitoring and scorecards for key domains with measurable improvements in quality KPIs.

- Reduced recurring DQ incidents through effective RCA coordination and upstream prevention controls.

- Increased adoption of the catalog/glossary and governance workflows across teams.

What’s in it For You:

- Hybrid Work Model: flexible hybrid working environment.

- Flexibility & Work-Life Balance: supportive workplace policies.

- Career Development and Growth: culture of continuous learning and skill development.

- Industry Competitive Benefits: comprehensive benefit plans.

- Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance.

- Social Impact: opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

## Skills

### Required
- data governance
- data quality
- analytics
- SQL
- data management

### Nice to have
- Alation
- ServiceNow
- ADO
- observability/telemetry

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