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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 with a diverse and inclusive culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future with cutting-edge technology and make a real impact in various industries.
- Qualifications: STEM degree and advanced AI/data architecture certifications required.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 72000 - 108000 ÂŁ per year.
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.
- Design and architect end‑to‑end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data pipeline, 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 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.
- Lead architecture review boards and provide technical governance throughout project lifecycles.
- Oversee 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.
- Actively contribute to practice development as a technical thought leader in AI and Data topics.
- 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 Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP.
- 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 lead design for end to end AI and data solutions across multiple cloud platforms.
- Able to define governance frameworks, security protocols and compliance standards.
- Operates as a trusted advisor to IT and senior stakeholders.
- Deep 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.
- Exceptional communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem‑solving capabilities.
- Ability to manage multiple client engagements simultaneously.
- 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 preparing 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.
- Deep 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.
Senior Manager, AI & Data Solution Architect, UKI in London employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, AI & Data Solution Architect, UKI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your AI and data solutions projects. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your knowledge of cloud platforms like Azure, AWS, and GCP. Be ready to discuss how you've tackled complex data challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Manager, AI & Data Solution Architect, UKI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Manager, AI & Data Solution Architect. Highlight your experience with cloud platforms and data solutions, and don’t forget to mention any relevant certifications. 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 solutions, and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to lead and deliver complex data solutions. Use metrics where possible to show the impact of your work. We’re all about measurable business value here at StudySmarter!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and data solutions, especially those relevant to Azure, AWS, and Google GCS. Brush up on your knowledge of Snowflake and Databricks, as these are key platforms for the role.
✨Prepare Real-World Examples
Think of specific projects where you've designed and implemented AI or data solutions. Be ready to discuss the challenges you faced, how you overcame them, and the measurable business value you delivered.
✨Understand the Business Context
Familiarise yourself with the industries EY serves, such as consumer products, retail, and health. This will help you bridge the gap between technical execution and business requirements during your interview.
✨Practice Your Presentation Skills
You’ll need to present complex concepts to both technical and non-technical audiences. Practise explaining your ideas clearly and confidently, as strong communication skills are essential for this role.
