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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, flexible working, and opportunities for professional growth.
- Why this job: Shape the future with cutting-edge technology and make a real impact.
- 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 54000 - 84000 £ per year.
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.
Job Specification
Grade: Senior Manager
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.
Your client impact
- 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.
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 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.
AI & Data 2026
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.
Senior Manager, AI Data Solution Architect, UKI in London employer: WomenTech Network
Contact Detail:
WomenTech Network 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 on LinkedIn or attend industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you stand out as a candidate who truly fits in.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role. Keep it concise but impactful, showcasing your skills in AI and data solutions.
✨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, 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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Soft Skills: Don’t just focus on technical skills; we want to see your soft skills too! Mention your communication abilities and how you’ve influenced stakeholders in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves!
How to prepare for a job interview at WomenTech Network
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and data solutions, especially those related 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 data solutions. Be ready to discuss how you tackled challenges, defined governance frameworks, and delivered measurable business value. This will show your practical experience.
✨Practice Your Presentation Skills
You’ll need to present complex technical concepts to both technical and non-technical audiences. Practise explaining your past projects in a clear and engaging way, focusing on how you can bridge the gap between tech and business needs.
✨Show Your Leadership Qualities
As a Senior Manager, you’ll be expected to lead teams and mentor junior architects. Prepare to discuss your leadership style and how you’ve successfully guided teams through technical challenges in previous roles.
