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- Tasks: Lead data governance and strategy for a major financial institution, ensuring responsible data use.
- Company: Respected UK financial institution with a focus on technology and transformation.
- Benefits: Competitive salary, generous holiday, private medical cover, and gym membership.
- Other info: Senior role with excellent career growth and exposure to innovative data solutions.
- Why this job: Shape the future of data usage in a leading financial organisation and make a real impact.
- Qualifications: Experience in data governance, risk management, and familiarity with Microsoft data technologies.
The predicted salary is between 100000 - 110000 £ per year.
I’m working with one of the UK’s most respected financial institutions as they look to bring in a senior data leader to take ownership of how data is safely and effectively put into the hands of the business.
This isn’t a typical data role. It’s about setting the direction for data enablement across the organisation, owning the platform, and making sure data is used responsibly, securely, and with real business value.
You’ll sit within the Technology and Transformation function and take ownership of the organisation’s Data Labs, which operate as an internal data platform product. But now they need proper ownership, stronger governance, and a clear long term direction.
You’ll work closely with senior stakeholders across finance, data science, AI engineering, and the wider business. The focus is making data accessible, without compromising on risk, control, or regulatory expectations.
Someone who has come from a hands on data background, whether that’s engineering or development, and has moved into owning platforms, products, or self service analytics capabilities. You’ll need to be comfortable operating at a senior level, working across both technical and non technical stakeholders, and bringing structure to how data is governed and used.
Experience in regulated environments is important, as is a strong understanding of data governance, risk, and controls. Exposure to Microsoft data technologies is key, and experience with Databricks would be a big plus. Some exposure to AI and advanced analytics would also be valuable, particularly the ability to make informed, pragmatic recommendations.
This is a genuinely senior opportunity where you’ll shape how a major financial institution uses data for years to come. You’ll define the strategy, own the governance, and play a key role in how data is enabled across the business.
- 28 days holiday plus bank holidays
- 17 percent employer pension contribution
- Private medical and dental cover
- Life assurance
- Critical illness cover
- Travel insurance
- Gym membership and retail discounts
Remote Team Manager - Children with Disabilities employer: Method-Resourcing
Contact Detail:
Method-Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Team Manager - Children with Disabilities
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We recommend practising common interview questions and tailoring your answers to highlight your experience with data governance and Microsoft technologies.
✨Tip Number 3
Showcase your skills! Create a portfolio or case studies that demonstrate your hands-on experience with data platforms and governance. This will help you stand out when discussing your fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can help shape the future of data in our organisation.
We think you need these skills to ace Remote Team Manager - Children with Disabilities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data governance and platform ownership, and don’t forget to mention any exposure to Microsoft technologies or Databricks. We want to see how you fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data enablement and how your background aligns with our needs. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Relevant Experience: When detailing your work history, focus on roles where you've managed data platforms or worked in regulated environments. We’re looking for someone who can bring structure to data governance, so make sure to highlight those experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Method-Resourcing
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data governance and the technologies mentioned in the job description, especially Microsoft data technologies and Databricks. Brush up on your understanding of how data can be used responsibly and securely, as this will be a key focus during your interview.
✨Showcase Your Leadership Skills
Prepare examples that demonstrate your experience in leading teams and managing projects. Highlight situations where you've successfully navigated complex stakeholder relationships, particularly between technical and non-technical teams. This will show that you can operate at a senior level and bring structure to data governance.
✨Understand the Business Value of Data
Be ready to discuss how data can drive business value and inform strategic decisions. Think about specific instances where your data initiatives have led to tangible outcomes. This will help you align with the organisation's goal of making data accessible while maintaining risk and control.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data governance and risk management. Practice articulating your thought process clearly and logically. This will demonstrate your ability to make informed, pragmatic recommendations in real-world scenarios.