Senior Associate, Data Governance & Quality

Royal Bank of Canada; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial institution in London is looking for a Senior Associate in Data Governance & Quality to manage and document data governance capabilities. The ideal candidate will have substantial experience in finance, strong analytical skills, and proficiency in SQL and data visualization tools. This role involves developing policies, ensuring data quality, and collaborating with teams to enhance data governance processes. Opportunities for professional growth in a dynamic, high-performing environment are also provided.

Benefits

Opportunities for professional growth

Supportive leadership

Dynamic team environment

Qualifications

• 5+ years of experience in the financial services industry.
• Logical understanding of data flow.
• Experience in using information analyzer, Atacama or similar data quality tools.

Responsibilities

• Develop and implement an enterprise-wide data management framework.
• Establish and deploy the centralised data catalogue and business glossary.
• Document data lineage to trace the end-to-end data journey.

Skills

Excellent analytical skills

Advanced SQL skills

Proficient with data visualization tools

Excellent written/verbal communication

Self-motivated and collaborative

Education

Degree in Finance, Economics, Computer Science, Engineering, Math or related field

Tools

Collibra

Tableau

PowerBI

JIRA

Azure DevOps

Job description

Job Description

What is the opportunity?
The Data Governance & Quality, Senior Associate will support the successful delivery of Wealth Management Europe's (WME) Data Governance capabilities and strategy. You will be responsible for capturing and managing business and technical metadata. Further responsibilities include the documentation of end‑to‑end lineage in Collibra, supporting business glossary work, implementing data quality controls and the management of data quality dashboards.

What will you do?

• Develop and implement an enterprise‑wide data management framework (including data governance, metadata management and data quality), policies and standards.
• Establish and deploy the centralised data catalogue, centralised business glossary, data lineage capability, data profiling capability, data quality rule engine and centralised data quality issue management solution.
• Discover and document data lineage to trace the end‑to‑end data journey from point of creation to consumption.
• Partner with operations, technology and other business areas to document data quality controls.
• Support the creation and maintenance of data dictionaries, metadata repositories, and data catalogues.
• Assist in data lifecycle management, including classification, retention, and disposal strategies.
• Support change projects across business and technology teams to improve how our business uses data.
• Develop data quality dashboards and implement data quality triage processes to address quality issues, providing proposals for prioritisation by supplying impact statements and supporting key performance indicators.
• Promote the use of metadata for enhancing data discoverability, compliance and collaboration across business and IT teams.
• Develop data governance guidelines and conduct trainings to various teams to promote data governance.
• Ensure all data‑related change remains aligned to existing standards and/or internal enterprise data governance policies.
• Work with the Chief Data Office to ensure that activities are addressed in the business lines to support the Data Strategy.

What do you need to succeed?

Must‑have

• Degree in Finance, Economics, Computer Science, Engineering, Math or a related field or 5+ years of experience in the financial services industry.
• Self‑motivated, cooperative, and collaborative attitude.
• Excellent analytical, troubleshooting, and problem‑solving skills.
• Excellent written/verbal communication skills and the ability to present or communicate complex concepts in a concise and understandable way to various stakeholders.
• Logical understanding of data flow.
• Advanced expertise in data governance tools (e.g., Collibra).
• Advanced SQL skills and familiarity with some scripting languages for data profiling automation.
• Proficient with data visualization tools such as Tableau, PowerBI.
• Experience in using information analyzer, Atacama or similar data quality tools.
• Experience in using software development tools like JIRA, Azure DevOps.
• Experience using business analysis and requirements modelling tools, such as data flow diagrams, relationship data models, business process modelling.

Nice to have

• Working knowledge of Agile techniques.
• Strong understanding of data governance, data quality, data lineage and metadata management concepts.

What is in it for you?

We thrive on the challenge to be our best—progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Leaders who support your development through coaching and managing opportunities.
• Opportunities to work with the best in the field.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high‑performing team.

Location

12 Smithfield Street, London, United Kingdom

Equal Opportunity Statement

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.