Lead Data Governance & Quality Analyst

POL008 Thomson Reuters Polska Sp. z o.o.; Województwo pomorskie; Hybrid; PLN 179,000 - 332,000; Full time

Job summary

Thomson Reuters Polska Sp. z o.o. seeks a Lead Data Governance & Quality Analyst to own governance across service and operational data, drive data quality standards, and partner with engineering to implement controls.

You will define CDEs, create DQ scorecards, lead governance forums, and collaborate with ITSM, SRE, and analytics teams. The role supports privacy, security classifications, and a data catalog-driven future in a hybrid Poland-based environment.

Qualifications

• 5+ years in data governance, data quality, analytics, or related data management roles; lead capacity preferred.
• Demonstrated experience defining and implementing data quality controls and partnering with teams to operationalize them.
• Strong knowledge of data governance concepts: ownership/stewardship, CDEs, metadata, lineage, data lifecycle, and controls.
• Advanced SQL skills: querying relational warehouses/lakes and handling JSON/log-like data.
• Working knowledge of data pipelines and failure modes; partner with data engineering.
• Experience cross-functional with Service Management, Engineering, Architecture, Product, Compliance, Security.
• Strong documentation, facilitation, communication and stakeholder management skills.
• Hands-on: profiling data, writing SQL checks, documenting definitions, running sessions.
• Nice-to-Have: knowledge of DAMA/DMBOK.
• Experience with catalog/governance tools like Alation or similar.
• Experience with workflow tools (ADO, ServiceNow) and ServiceNow data model.
• Experience defining metrics for service reliability and SLA attainment.
• Understanding privacy/security practices, data retention, and access governance.
• Experience supporting AI/ML or BI environments where data trust is critical.

Responsibilities

• Lead governance for Service & Operational data domains; ensure definitions and ownership.
• Develop and maintain data quality standards, profiling, rules, and automated monitoring.
• Define data product contracts (schema, definitions, SLAs/SLOs) and partner with engineering for controls.
• Collaborate with Data Owners to define CDEs, glossaries, and telemetry mappings.
• Create DQ scorecards and report on KPIs; run governance reviews with owners.
• Run ITSM-style data issue management: intake, triage, RCA, remediation tracking, post-fix validation.
• Support metadata management: lineage, classifications, retention, and catalog usage.
• Ensure privacy and security classifications and audit-ready documentation.
• Influence upstream processes to prevent defects and ensure consistency.
• Contribute to governance operating model, playbooks, and training.
• Facilitate governance forums and decision logs; maintain backlog transparency.
• Partner with Service Management, SRE/Observability, Engineering, Data & Analytics teams.

Skills

Data governance

SQL

Cross-functional collaboration

Documentation

Stakeholder management

Tools

Alation

ServiceNow

Job description

About the Role

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

• Lead governance execution for Service & Operational data domains (e.g., Incident/Problem/Change/Request, Observability/Telemetry, Availability/SLA/SLO), ensuring consistent definitions, ownership, and controls.
• Develop and maintain data quality (DQ) 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 and process improvements.
• Support metadata management: lineage, definitions, classifications, retention, and usage documentation in data catalog tools.
• Ensure compliance and responsible data use by applying privacy/security classifications (e.g., PII), access controls, and audit-ready documentation.
• Influence upstream processes (data entry, standards, integrations, reconciliation logic, product changes) to prevent defects and reduce rework (e.g., mandatory fields, controlled vocabularies, CI normalization, tag standards).
• Contribute to governance operating model: standards, playbooks, training, and change management to increase adoption across teams.
• Facilitate governance forums (working sessions, steward councils) and drive decisions on definitions, quality thresholds, and prioritization; maintain decision logs and backlog transparency.
• Partner closely with Service Management, SRE/Observability, Engineering, Data & Analytics teams to align on definitions, controls, and overall plans.

About you

• 5+ years in data governance, data quality, analytics, or related data management roles; experience in a lead capacity strongly preferred, ideally with operational/ITSM/telemetry datasets.
• Demonstrated experience defining and implementing data quality controls (profiling, rules, monitoring, scorecards, issue workflows) and partnering with teams to operationalize them.
• Strong knowledge of data governance concepts: data ownership/stewardship, CDEs, metadata, lineage, data lifecycle, and controls – and how they apply to event/ticketing/telemetry data.
• Advanced SQL skills: comfort analyzing data in relational warehouses/lakes, ability to work with semi-structured data (e.g., JSON/log-like structures) is a plus.
• Working knowledge of data pipelines and common failure modes (APIs, ELT/ETL, streaming vs batch) and ability to partner effectively with data engineering.
• Experience working cross-functionally with business partners and technical teams (e.g., Service Management, Engineering, Architecture, Product, Compliance, Security).
• Strong documentation, facilitation, communication, and stakeholder management skills; ability to drive outcomes without direct authority.
• Comfortable being hands-on: profiling data, writing SQL checks, documenting definitions, and running working sessions.
• Preferred / Nice-to-Have: Familiarity with governance frameworks and best practices (e.g., DAMA/DMBOK concepts).
• Experience with catalog/governance platform tools such as Alation, or similar catalog/governance platforms.
• Experience with workflow tools (ADO, ServiceNow).
• Experience with ServiceNow data model (Incident/Problem/Change/CMDB) and/or observability/telemetry (metrics/logs/traces), including entity/identity mapping concepts, is a plus.
• Experience defining metrics for service reliability/operations (e.g., MTTR, Change Failure Rate, Availability, SLA attainment) and standardizing calculation logic.
• Understanding of privacy/security practices (PII concepts), data retention, and access governance.
• Experience supporting AI/ML or BI environments where data trust is critical.

What Success Looks Like (First 6–12 Months)

Established clear ownership and definitions for priority Service & Operational datasets and critical data elements (e.g., core ITSM practices (Incident/Change/Problem/Request), Assignment Groups, CI mapping, telemetry tags). Implemented automated DQ monitoring and scorecards for key domains with measurable improvements in quality KPIs; introduced alerting and an agreed response process when thresholds are breached. Reduced recurring DQ incidents through effective RCA coordination and upstream prevention controls (e.g., validation rules, standard vocabularies, reconciliation improvements). Increased adoption of the catalog/glossary and governance workflows across teams; established a recurring governance rhythm with decision logs and prioritized backlog.

Why This Role Matters

Service & Operational data governance and quality are foundational to trustworthy reporting, operational decisions, and responsible AI. This role turns governance from a "policy document" into practical standards, data contracts, controls, and measurable improvements that teams rely on every day.

What’s in it For You?

Hybrid Work Model

We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Flexibility & Work-Life Balance

Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

Career Development and Growth

By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

Industry Competitive Benefits

We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Culture

Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Social Impact

Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Compensation

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For Poland, the base compensation range for this role is 178,500 PLN - 331,500 PLN. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.

Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.

Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

We welcome applications to our full-time vacancies from all citizens who have been granted protection within the territory of the Republic of Poland under the EU Temporary Protection Directive (subject to proof of status). This is inclusive of: Ukrainian citizens and their family members residing in Ukraine before 24 February 2022 Third country citizens and stateless persons and their family members with international or equivalent national protection in Ukraine, who had a valid residence permit in Ukraine on 24 February 2022 Citizens of other third countries who were permanent residents in Ukraine on 24 February 2022 in accordance with Ukrainian regulations and who cannot safely and permanently return to their country At Thomson Reuters, we’re not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism. Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering market-leading solutions, and innovating with curiosity and care. Learn more about a career with us Our Employer Story Inside Thomson Reuters Blog Awards and Recognition Join Our Talent Community Protect Your Job Search Future-ready careers Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.