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- Tasks: Lead and modernise data architecture while driving AI-enabled insights.
- Company: Mission-driven tech organisation with a global impact.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting chance to mentor a growing team and influence strategic decisions.
- Why this job: Shape the future of data and AI in a dynamic environment.
- Qualifications: Proven experience in leading data functions and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a mission-led international technology organisation undergoing a major phase of growth and evolution in its data capability. The business operates at global scale, supports complex decision-making environments, and is now looking for a senior data leader who can modernise architecture, elevate insight generation, and help shape the next era of AI-enabled data interpretation.
The organisation already has solid foundations in place. This role is ideal for someone who enjoys owning the full data landscape, from strategic direction through to technical implementation.
You’ll lead a small but growing team while remaining deeply involved in architecture, modelling, pipeline quality, ingestion strategy, and the evolution of AI-enhanced data capabilities.
A major focus for the business is exploring how AI can improve interpretation and usability of data, not simply automate query workflows. They’re looking for someone genuinely curious and experimental in this space, with strong opinions on how modern data functions should evolve.
- Defining and evolving the organisation’s data strategy
- Owning data architecture and platform direction
- Improving ingestion pipelines, quality, governance, and scalability
- Driving a shift from reactive reporting to proactive insight generation
- Embedding stronger commercial thinking into data infrastructure decisions
- Mentoring and developing a small data team
- Helping shape the future structure of the wider data function
- Exploring AI-enabled approaches to data interpretation and decision support
Proven experience leading or owning a modern data function
Experience scaling data capability in a growing environment
Strong stakeholder management and communication skills
Commercial mindset with the ability to influence decision-making
Previous leadership or team management experience
Data leaders who have modernised or rebuilt data platforms
Candidates experimenting with AI-enabled analytics or interpretation layers
Clear progression path toward broader data leadership responsibilities over time
Leadership & management interview
Data Architect/Data Lead in London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect/Data Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Architect/Data Lead role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architecture and AI. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s data strategy and recent projects. Tailor your responses to highlight how your experience aligns with their goals, especially around modernising data capabilities and AI integration.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate data leaders who want to make an impact. Plus, applying directly shows your enthusiasm and commitment to joining our mission-led team.
We think you need these skills to ace Data Architect/Data Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data architecture and any leadership roles you've had. We want to see how your skills align with our mission and the specific needs of the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our growth. Share specific examples of your past successes, especially those related to AI and modern data functions.
Showcase Your Curiosity: We love candidates who are curious and experimental! In your application, mention any projects or initiatives where you've explored innovative data solutions or AI applications. This will help us see your potential fit for our evolving data landscape.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to track your application and ensure it reaches the right people. Plus, we love seeing candidates who follow our process!
How to prepare for a job interview at RevTech
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data architecture. Brush up on your knowledge of AI-enabled data interpretation and be ready to discuss how you can modernise the organisation's data strategy.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing stakeholders. Be ready to discuss how you've mentored others and driven a shift from reactive reporting to proactive insight generation in previous roles.
✨Be Curious About AI
Demonstrate your genuine curiosity about AI and its applications in data. Think of innovative ideas or projects you’ve worked on that involved AI-enhanced analytics, and be prepared to share your thoughts on how these can be applied in the new role.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating your thoughts clearly, especially when discussing complex data concepts. Remember, it’s not just about what you say, but how you say it that can influence decision-making.