At a Glance
- Tasks: Support the delivery of a Data Ownership Model and enhance data governance across the organisation.
- Company: Join a forward-thinking organisation committed to data strategy and transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic, multi-disciplinary team with a focus on continuous improvement.
- Why this job: Make a real impact on data governance and contribute to strategic initiatives.
- Qualifications: Experience in data governance and strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
This is a 9-12 month fixed term contract hybrid role (3 days in the office). Locations: Either Birmingham, Sheffield, Leeds, Newcastle, Blackpool, Manchester.
The successful candidate will support the delivery of the Data Ownership Model (DOM) as an enabler of our Data Strategy 2030 ambitions. The work spans design through to delivery, embedding Data Ownership enterprise-wide across business areas, policy and digital transformation programmes.
Key activities include:
- Support identification and onboarding of Data ownership roles
- Delivering conceptual data model workshops
- Applying data ownership across the data lifecycle and decision making
- Supporting the Data governance knowledge hub as the central access point for governance guidance
- Enabling engagement between central data management capabilities (hub) and business areas (spokes)
The role will work as part of a multi-disciplinary team supporting delivery and continuous improvement of Data Ownership.
Experience delivering data governance or data ownership/stewardship models:
- Strong understanding of data lifecycle
- Strategic and operational delivery capability
- Experience translating policy into practical delivery
- Experience working across multiple workstreams in complex environments
- Strong stakeholder engagement and communication skills
- Ability to support delivery of change and adoption
Essential: Working extensively within Data Governance in a Central Government Department.
Senior Data Governance Consultant in Liverpool employer: Data Careers
As an Azure Infrastructure/Cloud Engineer with us, you'll be part of a dynamic and innovative team that values collaboration and professional growth. Our home-based work model, combined with occasional onsite meetings in Southampton, offers you the flexibility to balance your personal and professional life while enjoying competitive salaries and excellent benefits. We are committed to fostering a supportive work culture that encourages continuous learning and development, making us an exceptional employer for those seeking meaningful and rewarding careers in cloud technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Governance Consultant in Liverpool
✨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 Data Careers 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 Data Careers.
✨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 Data Careers.
We think you need these skills to ace Senior Data Governance Consultant in Liverpool
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Data Careers, 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 Data Careers, 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 Data Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Data Careers
✨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 Data Careers.
✨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 Data Careers.
✨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 Data Careers.
