At a Glance
- Tasks: Shape the future of data and AI with innovative solutions and strategic direction.
- Company: Ambitious organisation investing in modern cloud, data, and AI capabilities.
- Benefits: Health benefits, income protection, volunteering leave, and global remote work flexibility.
- Other info: Join a culture that values collaboration, continuous learning, and career growth.
- Why this job: Make a real impact in a flexible, people-centric environment with cutting-edge technology.
- Qualifications: Expertise in Microsoft Azure, data architecture, and advanced AI capabilities.
The predicted salary is between 51000 - 85000 £ per year.
If you’re looking for a senior role where you can shape the future of data and AI within an ambitious, forward-thinking organisation, this one stands out. This organisation is investing heavily in modern cloud, data and AI capabilities, creating an environment where innovation, collaboration and continuous learning thrive. You’ll join a culture that values expertise, encourages knowledge-sharing and supports career growth. With modern tooling, diverse projects and a strong emphasis on employee wellbeing, this is a place where technical leaders can make a real impact while working in a flexible, people-centric environment.
Responsibilities
- You will work with Senior stakeholders, providing strategic direction and shaping AI and data solutions.
- The full Microsoft Azure data ecosystem: Data Factory, Synapse, Fabric, Azure SQL, Storage and Power BI.
- Advanced AI capabilities including machine learning, generative AI, cognitive services and responsible AI frameworks.
- Dynamics 365, Power Platform, DevOps pipelines and Agile delivery practices.
- Modern data approaches: lakehouse, data mesh, ELT/ETL, MDM and dimensional modelling.
- Leading workshops, defining architectural standards and ensuring delivery quality.
- Supporting pre‑sales engagements, solution design and building reusable internal assets.
- Coaching and mentoring technical teams to raise capability across data and AI.
Benefits
- Health & wellness benefits covering medical, dental and eye care, plus health cashback.
- Income protection scheme.
- Cycle to Work scheme.
- Volunteering leave ("Be Good, Do Good" days).
- 24‑hour Employee Assistance Programme.
- Tailored mental health support platform.
- Gym and retail discounts.
- Flexibility to work from anywhere in the world for up to 4 weeks per year.
Key Experience
- Strong expertise across Microsoft Azure data and AI services.
- Hands‑on experience architecting complex data and AI platforms.
- Confident working with and advising C‑suite stakeholders.
- Knowledge of Dynamics 365, Power Platform and modern engineering practices.
- Experience with machine learning, generative AI and cognitive services.
- Strong understanding of lakehouse, data mesh, ELT/ETL, MDM and modelling techniques.
- Excellent communicator capable of simplifying complex concepts.
- Ability to work in fast‑moving environments with evolving technology.
- Willingness to travel to client sites when required.
Ready to take the next step? If you’re passionate about leading cutting‑edge AI and data architecture and want to have a major impact on strategic programmes, this is an opportunity you won’t want to miss. Apply now or send your CV directly!
Data & AI Architect employer: Nigel Frank
This organisation is an exceptional employer for a Data & AI Architect, offering a dynamic and innovative environment where you can truly shape the future of data and AI. With a strong commitment to employee wellbeing, continuous learning, and career growth, you will benefit from modern tooling, diverse projects, and a flexible work culture that values collaboration and expertise. Join a forward-thinking team that not only invests in cutting-edge technology but also prioritises your professional development and personal health.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who might know someone at the company you're eyeing. A friendly chat can sometimes lead to a referral, which is gold dust in the job market.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your expertise in Microsoft Azure and AI, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview questions related to data architecture and AI solutions. Think about how you can relate your past experiences to the responsibilities listed in the job description.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a quick thank-you note to express your appreciation for the opportunity. It keeps you fresh in their minds and shows your enthusiasm for the role. And remember, apply through our website for the best chance!
We think you need these skills to ace Data & AI Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Microsoft Azure and AI services, as well as any relevant projects you've worked on that align with the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data and AI, and how you can contribute to our innovative culture. Don't forget to mention your experience with modern data architecture!
Showcase Your Communication Skills:As a Data & AI Architect, you'll need to communicate complex concepts clearly. In your application, demonstrate your ability to simplify technical jargon and engage with stakeholders at all levels, especially C-suite executives.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft Azure data ecosystem, including Data Factory, Synapse, and Power BI. Brush up on your knowledge of modern data architectures like lakehouse and data mesh, as well as advanced AI capabilities. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Prepare for Stakeholder Engagement
Since you'll be working with senior stakeholders, practice how to communicate complex concepts in a simple way. Think about examples from your past experiences where you've successfully advised C-suite executives or led workshops. This will demonstrate your ability to engage effectively with high-level decision-makers.
✨Showcase Your Leadership Skills
This role involves coaching and mentoring technical teams, so be ready to share your experiences in leading teams or projects. Prepare specific examples of how you’ve raised capability across data and AI in previous roles, and how you can bring that expertise to the new organisation.
✨Emphasise Your Adaptability
The job requires working in fast-moving environments with evolving technology. Be prepared to discuss how you’ve adapted to changes in technology or project requirements in the past. Highlight your willingness to learn and grow, which aligns perfectly with the company’s culture of continuous learning.
