Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of innovative AI and data solutions for enterprise clients.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Competitive salary, diverse teams, and opportunities for career growth.
- Why this job: Shape the future with cutting-edge technology and make a real impact.
- Qualifications: STEM degree and AI/data architecture certifications required.
- Other info: Collaborative environment with a focus on continuous learning and mentorship.
The predicted salary is between 36000 - 60000 £ per year.
At EY, we are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value.
Impact you deliver for our clients:
- Design and architect end-to-end AI and data solutions on Azure or AWS or Google GCS, leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data pipeline, storage, analytics, and AI/ML capabilities.
- Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations.
- Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements.
- Serve as the trusted technical advisor in a specific area to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries.
- Present complex technical concepts and solution roadmaps to both technical and non-technical audiences.
- Contribute to architecture review boards and input to technical governance throughout project lifecycles.
- Deliver the implementation of data lakes, data warehouses, and lakehouse architectures.
- Ensure solutions are optimised for performance, cost-efficiency, and scalability.
- Define integration patterns between cloud platforms, third-party applications, and legacy systems.
- Understanding of building and integrating Agentic AI solutions into existing cloud platforms.
- Mentor junior architects and technical teams on best practices and emerging technologies.
Essential Qualifications:
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field.
- One or more AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP.
Essential Criteria:
- Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences.
- Able to contribute to the design of end-to-end AI and data solutions across multiple cloud platforms.
- Contribute to governance frameworks, security protocols and compliance standards.
- Expertise in at least one of the following data and AI services: Microsoft Azure, AWS, Google GCP.
- Hands-on experience with Microsoft Fabric, Snowflake and/or Databricks.
- TOGAF experience.
Soft Skills:
- Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies.
- Strong communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem-solving capabilities.
- Ability to manage or lead client engagements.
- Collaborative mindset with experience working in cross-functional teams.
- Coaching mindset to support the development of junior team members.
Preferred Criteria:
- Understanding of AI Architecture front end, UI/UX, and how AI is consumed.
- Experience of contributing to technical solutions and architectures as part of bid responses and proposals.
- Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation.
- Experience or understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry.
- Experience with domain-specific use cases such as commercial, supply chain, finance or operations.
Manager, AI in Salford employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, AI in Salford
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and data solutions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your projects, especially those involving cloud platforms like Azure or AWS. We love seeing real-world applications of your skills during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to help build a better working world.
We think you need these skills to ace Manager, AI in Salford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Manager, AI. Highlight your experience with AI and data solutions, especially in cloud platforms like Azure or AWS. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data architecture. Share specific examples of your past work that demonstrate your ability to deliver scalable solutions and drive business value.
Showcase Your Soft Skills: Don’t forget to highlight your soft skills! Communication and collaboration are key in this role. We love seeing candidates who can influence stakeholders and work well in cross-functional teams, so make sure to include relevant experiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Good luck!
How to prepare for a job interview at EY
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific AI and data solutions mentioned in the job description, like Azure, AWS, and Snowflake. Brush up on your knowledge of cloud-native architectures and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Strategic Thinking
Prepare examples that highlight your ability to bridge business needs with technical execution. Think about times when you’ve designed end-to-end solutions that delivered measurable business value, and be ready to share these stories during the interview.
✨Communicate Clearly and Confidently
Since you'll be presenting complex concepts to both technical and non-technical audiences, practice explaining your ideas in a straightforward manner. Use analogies or simple terms to make your points clear, especially when discussing governance frameworks or compliance standards.
✨Demonstrate Your Mentorship Skills
EY values collaboration and coaching, so think of instances where you’ve mentored junior team members or led cross-functional teams. Be prepared to discuss your approach to supporting others' development and how you foster a collaborative environment.
