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- Tasks: Lead data architecture and modernise AI-enabled data interpretation.
- Company: Mission-driven tech organisation with a global impact.
- Benefits: Hybrid work model, competitive salary, and career progression.
- Other info: Exciting opportunity to innovate in a growing environment.
- Why this job: Shape the future of data while leading a passionate team.
- Qualifications: Proven experience in data leadership 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 Lead in London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect 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 Lead role. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI and data architecture. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of modern data functions and AI applications. Be ready to discuss how you've led teams and improved data strategies in previous roles—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it shows you're genuinely interested in joining our mission-led team.
We think you need these skills to ace Data Architect 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 how you've modernised data functions or led teams in the past.
Showcase Your Curiosity: We love candidates who are curious and experimental, especially when it comes to AI in data interpretation. In your application, mention any projects or initiatives where you've explored innovative approaches to data challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're serious about joining our team!
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 architecture and improve ingestion pipelines.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading a data team. Talk about how you've mentored others and driven a shift from reactive reporting to proactive insight generation. This will demonstrate your capability to manage and inspire a growing team.
✨Be Curious About AI
Since the organisation is keen on exploring AI, come prepared with ideas on how AI can enhance data usability. Share any experiments or projects you've worked on that involved AI analytics, showing your genuine curiosity and innovative mindset.
✨Communicate Effectively
Strong stakeholder management is key for this role. Practice articulating your thoughts clearly and confidently. Be ready to discuss how you’ve influenced decision-making in previous roles, showcasing your commercial mindset and ability to engage with various stakeholders.