At a Glance
- Tasks: Help shape and deliver our Data Management roadmap in a dynamic financial services environment.
- Company: Join a leading UK life and pensions mutual insurer with a proud history since 1843.
- Benefits: Enjoy 30 days' holiday, competitive salary, and flexible benefits including private medical insurance.
- Other info: Be part of an inclusive culture that values individuality and offers excellent career growth.
- Why this job: Make a real impact on data governance and management while influencing the future of data.
- Qualifications: Experience in Data Management or Governance, ideally within Financial Services.
The predicted salary is between 60000 - 75000 £ per year.
We have a new and exciting opportunity for a proactive Data Management Specialist to help deliver our Data Strategy, enhance enterprise data management capabilities, and support the implementation of Microsoft Fabric and Purview within a dynamic financial services environment.
As a leading UK life and pensions mutual insurer with a proud history dating back to 1843, we exist to help people live financially confident lives protecting their income while they work and maximising it when they stop. Today, over one million members and customers trust us to look after their futures, families and finances.
Joining us means becoming part of a team that puts our members, customers and advisers at the heart of everything we do. We are committed to creating an inclusive culture where colleagues can thrive. We celebrate individuality and believe our differences make us stronger.
Working within the Data Office, you'll help deliver and mature our data governance and data management capabilities, including data quality, data catalogue, metadata, master data, lineage and data stewardship, ensuring trusted, well-governed data that supports business decision-making and regulatory compliance. The role will be for a 12-month FTC and based out of our Bournemouth office with office presence required once a month.
Key Responsibilities- Help shape and deliver the Data Management roadmap, establishing and embedding enterprise-wide data governance and data management capabilities.
- Lead the implementation and adoption of Microsoft Purview and Unified Data Governance, supporting metadata management, data lineage, data cataloguing, and governance best practices.
- Support the migration and governance of data within Microsoft Fabric, ensuring our sensitive and personal data is effectively safeguarded, secure, trusted, and accessible.
- Establish and maintain master data management, business glossaries, data dictionaries, metadata repositories, and data lineage to improve data visibility and consistency.
- Drive data quality, classification, retention, and privacy initiatives, ensuring compliance with internal policies and regulatory requirements.
- Identify and mitigate data risks, implementing controls and supporting governance audits, monitoring, and reporting activities.
- Partner with Data Owners, Stewards, IT, Compliance, and business stakeholders to improve data management practices and drive accountability across the organisation.
- Act as a Data Management SME, providing guidance, training, and support to strengthen data literacy and mature stewardship capabilities.
- Support data migration, remediation, and transformation initiatives, ensuring enterprise data assets remain accurate, complete, and reliable.
- Contribute to governance forums, design authorities, and strategic data projects, providing expert input on data management capabilities and best practices.
- Experience in Data Management, Data Governance, or Data Risk Management, ideally within Financial Services or another regulated environment.
- Strong understanding of data governance frameworks, data quality, metadata, lineage, and master data management.
- Experience with Microsoft Purview, Microsoft Fabric/Azure, or similar data governance platforms.
- Strong analytical, problem-solving, SQL and stakeholder management skills.
- Knowledge of data privacy and regulatory requirements such as GDPR.
- Experience with data migration, remediation, ETL processes, and cloud-based data platforms.
- Desirable DAMA DMBOK, CDMP, or equivalent certification.
- Experience with financial data models and regulatory reporting requirements.
- Exposure to Python, Power BI, and broader Azure data services.
This is an exciting opportunity to help build and embed enterprise-wide data management capabilities while influencing the future of data across the organisation.
Rewards and BenefitsAt LV= Savings and Retirement, you'll go above and beyond to do the right thing for our customers. We'll reward your hard work with an attractive, competitive salary and benefits package, which includes:
- 30 days' holiday, with the option to buy up to 5 additional days
- Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
- An annual bonus scheme based on personal performance
- Single-cover private medical insurance (with the option for you to upgrade to family cover)
- Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
- Up to 20% discount on our life products for you and your immediate family
- A group life assurance policy with 4 x your basic pay to go to your dependents (you'll have the option to increase to 8 x cover)
- Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
- Access to our Employee Assistance Programme (EAP) for support when you need it
- A virtual GP service
- Shared parental leave
- Up to 20% discount on our life products for you and your immediate family.
Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.
We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it's right for you, our members and customers, and our business, then we'll do everything we can to make it happen.
Data Management Specialist 12-month FTC in Sandford employer: LV=
At LV=, we pride ourselves on being an excellent employer, offering a supportive work culture that values collaboration and innovation. Our Bournemouth location provides a vibrant environment with opportunities for professional growth, complemented by generous benefits such as 30 days’ holiday and a competitive pension scheme, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Specialist 12-month FTC in Sandford
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like LV= before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like LV=.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like LV=.
We think you need these skills to ace Data Management Specialist 12-month FTC in Sandford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at LV=, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to LV=, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab LV=’s attention and show the tangible impact of your work.
How to prepare for a job interview at LV=
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at LV=.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at LV=.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at LV=.
