At a Glance
- Tasks: Own and manage the data governance tool, ensuring data quality and compliance.
- Company: Join Canada Life UK, a modern and agile organisation focused on building better futures.
- Benefits: Enjoy a competitive salary, generous pension, private medical insurance, and personal development opportunities.
- Other info: Dynamic role with opportunities for growth and continuous improvement in data practices.
- Why this job: Make a real impact on data governance while working in a supportive and collaborative environment.
- Qualifications: Experience in data governance or management, with strong analytical and communication skills.
The predicted salary is between 50000 - 60000 £ per year.
Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation. Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues. Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
Job Purpose
To own and administer the enterprise data governance tool - Informatica, acting as the central point of contact for configuration, maintenance, and optimisation, ensuring it effectively supports data catalogue, metadata, lineage and data quality capabilities. The role will monitor, analyse and report on data quality and GDPR/E21-related compliance metrics across critical data sets, working with data owners, stewards and control functions to remediate issues and strengthen controls. It will support the wider data governance framework by providing insight, MI and training that improves data literacy and embeds consistent data management practices.
Duties/Responsibilities
- Ownership and administration of Informatica - the data governance tool (e.g. catalogue, lineage, DQ modules).
- As system owner delegate and subject matter expert for the data governance tool, including configuration, role-based access, workflows and integrations.
- Ensure the tool is stable, secure, fit for purpose and aligned to the organisation's data governance framework and policies.
- Manage release cycles, testing and adoption of new capabilities in partnership with IT.
- Define and maintain data quality rules, thresholds and dashboards for critical data elements in collaboration with data stewards and business owners.
- Monitor data quality metrics, identify trends, perform root cause analysis and coordinate remediation activities.
- Produce regular MI and insight on data quality for senior stakeholders, highlighting key risks, improvements and recommendations.
- Configure and support Informatica capabilities that help identify and manage personal and sensitive data (e.g. tagging, classifications, critical data flags).
- Produce and maintain reports that evidence GDPR-related controls (e.g. lawful basis, retention, data subject categories) where supported by the data governance tool.
- Work closely with Privacy, Risk, Legal and Security teams to ensure that data governance MI supports compliance monitoring and regulatory reporting.
- Partner with data stewards and SMEs to capture and maintain business and technical metadata, including data definitions, owners, stewards and criticality.
- Ensure end to end data lineage for critical data elements is captured in the tool, including systems, interfaces and key transformations.
- Promote consistent use of the data catalogue and metadata repository as the 'single source of truth' for data knowledge.
- Maintain training materials and deliver training and guidance for data stewards, data owners and other users of Informatica.
- Provide day to day support, coaching and troubleshooting for business and technical users.
- Contribute content for data governance communications, newsletters and awareness campaigns to embed good data practices.
- Support the preparation of materials and dashboards for data governance and risk forums, including status on data quality and GDPR-related indicators.
- Contribute to the definition and measurement of KPIs and KRIs for the data governance programme, using tooling outputs wherever possible.
- Identify opportunities to enhance data governance processes, controls and Informatica usage; support delivery of agreed improvements.
Skills, Knowledge and Experience
- Experience working in a data governance, data quality, data management or related analytical role in a complex environment.
- Hands on experience with a data governance or data catalogue tool like Informatica (e.g. for metadata, lineage, data quality and policy management).
- Strong understanding of data governance principles, data lifecycle management, data quality dimensions and data stewardship operating models.
- Good understanding of GDPR and data protection requirements and how they relate to data controls, lineage, retention and evidencing compliance.
- Experience creating and interpreting data quality and compliance dashboards and translating insight into practical actions for stakeholders.
- Strong analytical and problem solving skills; able to interrogate data, identify root causes and propose pragmatic remediation.
- High level of attention to detail and data accuracy.
- Excellent communication skills, able to explain technical and governance concepts to non-technical audiences and influence stakeholders.
- Ability to work collaboratively across IT, business functions, Risk, Legal and Privacy teams.
- Strong organisational skills, able to prioritise and manage multiple concurrent activities and deadlines.
Qualifications
Professional qualifications relating to data management, data protection, financial services, risk or operations are desirable but not mandatory. GDPR / data protection certifications (e.g. practitioner-level) desirable.
Benefits of working at Canada Life
Competitive salary and comprehensive reward package including a generous pension and bonus scheme. Income protection, private medical insurance and life assurance. Additional benefits and support services including regular personal and professional development.
Data Quality & Governance Specialist in Rochester employer: Canada Life UK
Canada Life UK is an exceptional employer that prioritises the well-being and growth of its employees, offering a competitive salary alongside a comprehensive benefits package, including a generous pension scheme and private medical insurance. The company fosters a modern and agile work culture, encouraging personal and professional development while providing opportunities for meaningful contributions to data governance and compliance in a supportive environment. Located in the UK, Canada Life UK is committed to building better futures not just for its customers but also for its dedicated workforce, making it an attractive place for those seeking rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & Governance Specialist in Rochester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Canada Life UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Quality & Governance Specialist at Canada Life UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Canada Life UK.
✨Apply Directly through Our Website
When you find a suitable opening like Data Quality & Governance Specialist at Canada Life UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Quality & Governance Specialist in Rochester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Canada Life UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Canada Life UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Canada Life UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Canada Life UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.