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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 focus on building a better working world.
- Benefits: Competitive salary, diverse teams, 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 a focus on continuous learning and mentorship.
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 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
✨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 projects. Whether it's a GitHub repository or a personal website, having tangible examples of your work can really set you apart 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 your architectural decisions and how they align with business needs—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Manager, AI & Data Solution Architect, UKI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and data solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role is all about technical expertise, be sure to include specific examples of your work with cloud platforms like Azure, AWS, or Google GCS. We love seeing hands-on experience with tools like Snowflake and Databricks!
Communicate Clearly: Your ability to present complex ideas simply is key. When writing your application, use clear language and structure your thoughts logically. Remember, we’re looking for someone who can bridge the gap between technical and non-technical audiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure it gets into the right hands and helps us keep track of your application. Plus, it shows you’re serious about joining our team!
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 you'll likely be asked to discuss how these platforms can be leveraged for enterprise clients.
✨Showcase Your Strategic Thinking
Prepare to demonstrate your ability to bridge business needs with technical execution. Think of examples where you've designed end-to-end solutions that delivered measurable business value, and be ready to explain your thought process during the interview.
✨Communicate Like a Pro
Since you’ll be presenting complex concepts to both technical and non-technical audiences, practice explaining your ideas clearly and concisely. Use relatable analogies or examples to make your points more accessible, especially when discussing governance frameworks and compliance standards.
✨Be a Team Player
Highlight your experience working in cross-functional teams and mentoring junior members. Share specific instances where collaboration led to successful project outcomes, as this role requires a collaborative mindset and the ability to manage multiple client engagements simultaneously.
