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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 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: Experience in AI architecture and cloud platforms like Azure or AWS.
- Other info: Collaborative environment with a focus on continuous learning and mentorship.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Location: Manchester
Requisition ID: 1657242
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
About the Role
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
Qualifications
- One or more Advanced level AI and Data architecture certifications in Snowflake, Microsoft Azure, AWS or Databricks.
- Proven track record of architecting enterprise‑scale data and ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences
- Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS, Google GCP
- Hands on experience with Microsoft Azure, Snowflake and/or Databricks
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
Desired 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 with 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
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Manager, AI & Data Solution Architect, TC UKI in Manchester 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 Manager, AI & Data Solution Architect, TC UKI in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and data space. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, AWS, or Google GCS. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data architectures and AI solutions. Be ready to discuss how you've tackled real-world problems and how you can bring value to EY's clients.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at EY.
We think you need these skills to ace Manager, AI & Data Solution Architect, TC UKI in Manchester
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 architecture and implementation, be sure to include any certifications or hands-on experience you have with platforms like Azure, AWS, or Databricks. We love seeing that technical prowess!
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 tech and business!
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’s super easy!
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, Snowflake, and Databricks. Brush up on your knowledge of AI and data solutions, as you'll need to demonstrate your expertise during the interview.
✨Prepare Real-World Examples
Think of concrete examples from your past experiences where you've successfully designed and implemented AI and data solutions. Be ready to discuss how you tackled challenges and delivered measurable business value, as this will showcase your problem-solving skills.
✨Understand the Business Context
Familiarise yourself with the industries EY operates in, such as consumer products, retail, health, and energy. This will help you connect your technical skills to the business needs of potential clients, making you a more compelling candidate.
✨Practice Your Presentation Skills
Since you'll be presenting complex concepts to both technical and non-technical audiences, practice explaining your ideas clearly and concisely. Use simple language to convey your thoughts, and be prepared to answer questions that may arise during your presentation.
