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For Companies At a Glance
- Tasks: Lead the data architecture strategy and shape a new enterprise data platform.
- Company: Major UK financial services organisation investing in modern data capabilities.
- Benefits: Competitive salary up to £95,000 plus benefits and hybrid working.
- Why this job: Make a real impact on data strategy and technology direction in a dynamic environment.
- Qualifications: Proven experience in enterprise data architecture and team leadership.
- Other info: Join a diverse and inclusive community with opportunities for growth.
The predicted salary is between 78000 - 112000 £ per year.
We're supporting a major UK financial services organisation as they continue significant investment in modernising their enterprise data capabilities. This is a senior leadership opportunity to define and drive the data architecture strategy within a large, complex and highly regulated environment.
The Opportunity
- Lead the data architecture domain, playing a critical role in shaping and delivering a new enterprise data platform.
- Define modern data standards, principles and architectural patterns.
- Embed robust governance across the full data lifecycle.
- Enable AI / ML capability at scale.
- Lead and develop a team of data architects and engineers.
- Influence senior technology and business stakeholders.
This role combines strategic ownership, transformation leadership and technical authority across the organisation.
What We're Looking For
- Proven experience leading enterprise data architecture in a regulated environment.
- Strong track record delivering large-scale data platform transformation.
- Deep understanding of governance, standards and architecture controls.
- Ability to operate credibly at executive stakeholder level.
- Experience building and mentoring high-performing architecture teams.
This is a high-impact role with genuine influence over long-term data strategy and technology direction. If you're interested in shaping enterprise data architecture within financial services, I'd be happy to share further details on a confidential basis.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Locations
Lead Data Architect in Edinburgh, Scotland employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect in Edinburgh, Scotland
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Lead Data Architect role. You never know who might have the inside scoop on opportunities or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, be ready to discuss your experience in leading enterprise data architecture. Share specific examples of how you've shaped data strategies and influenced stakeholders in previous roles.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in data governance and AI/ML capabilities. Being able to speak confidently about these topics will show that you're not just a candidate, but a thought leader in the field.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, we’re here to support you throughout the process, so don’t hesitate to reach out if you need any help!
We think you need these skills to ace Lead Data Architect in Edinburgh, Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Architect role. Highlight your experience in enterprise data architecture and any relevant projects you've led, especially in regulated environments. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about shaping data architecture in financial services. Share specific examples of how you've influenced data strategy and led teams in the past.
Showcase Your Leadership Skills: Since this is a senior role, we’re keen to see your leadership style. Mention any experience you have in mentoring teams or influencing stakeholders. We love candidates who can inspire others and drive change!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Data Architecture Inside Out
Make sure you have a solid grasp of data architecture principles, especially in regulated environments. Brush up on your knowledge of modern data standards and governance practices, as these will likely be hot topics during the interview.
✨Showcase Your Leadership Skills
Prepare to discuss your experience leading teams and influencing stakeholders. Think of specific examples where you've successfully driven transformation or mentored others, as this role is all about leadership and strategic vision.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces regarding data management. Being able to speak intelligently about how your expertise can address these challenges will set you apart from other candidates.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals, especially regarding their approach to data governance and innovation.