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, career growth, and a chance to shape the future with cutting-edge tech.
- Why this job: Make a real impact by bridging business needs with advanced AI and data solutions.
- Qualifications: STEM degree and advanced AI/data architecture certifications required.
- Other info: Collaborative environment with opportunities to mentor and develop junior team members.
The predicted salary is between 54000 - 84000 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 optimized 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, TC UKI Northern Ireland in Belfast 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, TC UKI Northern Ireland in Belfast
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI and data solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and data architecture. Be ready to discuss your experience with cloud platforms like Azure, AWS, or GCP, and how you've tackled real-world challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Manager, AI & Data Solution Architect, TC UKI Northern Ireland in Belfast
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 get to know you better. 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 specific technologies mentioned in the job description, like Azure, AWS, and Databricks. Prepare to discuss your hands-on experience with these platforms and how you've architected solutions in the past.
✨Showcase Your Strategic Thinking
Be ready to demonstrate your ability to bridge business needs with technical execution. Think of examples where you’ve designed end-to-end AI and data solutions that delivered measurable business value, and be prepared to explain your thought process.
✨Prepare for Client Interactions
Since this role involves leading technical discovery sessions, practice how you would engage with clients. Think about how you can translate complex technical concepts into language that non-technical stakeholders can understand.
✨Highlight Your Leadership Skills
As a Senior Manager, you’ll need to mentor junior architects and lead teams. Prepare examples of how you’ve successfully coached others and contributed to practice development, showcasing your collaborative mindset and ability to influence.
