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- Tasks: Lead the design and delivery of cutting-edge data and AI solutions for top clients.
- Company: Join an innovative tech consultancy driving digital transformation across the UK.
- Benefits: Enjoy flexible working options, mentorship opportunities, and a culture of continuous learning.
- Why this job: Be at the forefront of technology, influencing major decisions and shaping the future of data.
- Qualifications: Experience in data/AI technologies, cloud solutions, and leading multi-disciplinary teams required.
- Other info: Opportunity to share insights through blogs and talks, enhancing your professional presence.
The predicted salary is between 54000 - 84000 £ per year.
An innovative technology consultancy is seeking a Principal Data & AI Architect to drive the design, development, and delivery of modern data and AI solutions for high-profile clients across the UK. This is a strategic leadership position at the forefront of digital transformation, ideal for a visionary technologist who thrives in dynamic, client-facing environments.
As a senior authority in data and AI architecture, the successful candidate will shape technical direction, define solution strategies, and lead multi-disciplinary teams across complex digital programmes. This role demands a blend of deep technical acumen, thought leadership, and strong stakeholder engagement to influence decision-makers and deliver transformative outcomes.
Key Responsibilities:- Lead the architecture and delivery of innovative data and AI solutions across multiple client engagements.
- Act as a trusted advisor to C-level stakeholders, providing strategic direction on emerging technologies such as IoT, machine learning, event-driven architectures, and cognitive services.
- Design scalable, resilient systems using modern cloud platforms (AWS, Azure, or GCP), leveraging IaaS, PaaS, and SaaS solutions.
- Provide technical assurance and mentorship to agile delivery teams, ensuring architectural coherence and successful delivery.
- Guide other architects and engineers in their professional growth, managing capability development and fostering a culture of learning and inclusion.
- Champion best practices in cloud data platforms, data integration (e.g., messaging, queuing, CDC), and non-functional design principles.
- Collaborate closely with clients to understand business goals, ensuring technical designs are aligned with commercial and strategic priorities.
- Influence internal policies, technology standards, and account strategies, while keeping pace with industry innovation.
- Share insights through blogs, talks, or internal forums—helping shape the company’s presence in the data and AI space.
- A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning.
- Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applications—preferably across distributed systems.
- Proven ability to lead architecture for cloud-native solutions, using at least one major cloud provider (AWS, Azure, GCP).
- Experience integrating data using messaging systems, event streams, CDC techniques, or virtualisation approaches.
- Ability to communicate complex technical concepts to senior, non-technical stakeholders with confidence and clarity.
- Strong commercial awareness, with a track record of aligning technical decisions to business value.
- Effective time and priority management across multiple concurrent projects and deadlines.
- A collaborative leadership style with a focus on team wellbeing, psychological safety, and continuous development.
- Prior experience managing or mentoring team members, including setting objectives and delivering performance feedback.
- Passion for sharing knowledge and actively contributing to the wider data and AI community.
Data & AI Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Architect
✨Tip Number 1
Network with professionals in the data and AI field. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and clients. Building relationships can lead to valuable insights and opportunities that may not be advertised.
✨Tip Number 2
Showcase your thought leadership by sharing your insights on platforms like LinkedIn or relevant forums. Write articles or posts about emerging technologies and trends in data and AI. This not only demonstrates your expertise but also increases your visibility to recruiters.
✨Tip Number 3
Prepare for interviews by familiarising yourself with the latest cloud technologies and architectural patterns. Be ready to discuss specific projects where you've successfully implemented these solutions, as this will highlight your hands-on experience and strategic thinking.
✨Tip Number 4
Engage with the company’s online presence. Follow StudySmarter on social media, participate in discussions, and comment on their posts. This shows your genuine interest in the company and can help you stand out during the application process.
We think you need these skills to ace Data & AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data and AI architecture. Focus on your leadership roles, technical skills, and any successful projects that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your vision for data and AI solutions. Mention specific technologies you’ve worked with and how they relate to the company’s needs. Be sure to express your enthusiasm for the role.
Highlight Stakeholder Engagement: In your application, emphasise your experience in engaging with C-level stakeholders. Provide examples of how you've influenced decision-making and aligned technical strategies with business goals.
Showcase Thought Leadership: If you have published articles, given talks, or contributed to forums in the data and AI space, mention these in your application. This demonstrates your commitment to the field and your ability to share knowledge.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with modern data and AI technologies. Highlight specific projects where you've designed and delivered solutions, especially those involving cloud platforms like AWS, Azure, or GCP.
✨Engage with Stakeholders
Demonstrate your ability to communicate complex technical concepts to non-technical stakeholders. Prepare examples of how you've successfully influenced decision-makers and aligned technical strategies with business goals.
✨Emphasise Leadership and Mentorship
Share your experiences in leading teams and mentoring colleagues. Discuss how you've fostered a culture of learning and inclusion, and how you manage capability development within your teams.
✨Stay Current with Industry Trends
Show your passion for the data and AI community by discussing recent trends and innovations. Be ready to share insights or thoughts on emerging technologies and how they can impact business strategies.
