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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 mission to build a better working world.
- Benefits: Competitive salary, diverse teams, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by shaping the future of AI and data solutions.
- Qualifications: STEM degree and advanced AI/data architecture certifications required.
The predicted salary is between 70000 - 90000 £ 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.
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.
Senior Manager, AI & Data Solution Architect, UKI in London employer: FP&A
Contact Detail:
FP&A 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 events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and data solutions. We recommend doing mock interviews with friends or using online resources to get comfortable presenting your expertise and experiences.
✨Tip Number 3
Showcase your skills through projects or case studies. Create a portfolio that highlights your experience with cloud platforms and AI solutions. This will give you an edge and demonstrate your hands-on capabilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are ready to make an impact in the AI and data space.
We think you need these skills to ace Senior Manager, AI & Data Solution Architect, UKI in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Manager role. Highlight your experience with AI and data solutions, especially in cloud environments like Azure or AWS. We want to see how your skills align with what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of projects you've led or contributed to. Quantify your impact where possible, like improvements in performance or cost-efficiency. This helps us understand the value you can bring to our team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to submit your application 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 FP&A
✨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 platforms like Snowflake and Databricks, as you’ll need to demonstrate your expertise in these during the interview.
✨Showcase Your Strategic Thinking
Prepare to discuss how you can bridge business needs with technical execution. Think of examples where you've designed scalable architectures that delivered measurable business value, and be ready to share these insights with the interviewers.
✨Communicate Like a Pro
You’ll need to present complex concepts to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact they had on the business. This will show your ability to influence senior stakeholders effectively.
✨Be a Team Player
Highlight your experience working in cross-functional teams and mentoring junior members. EY values collaboration, so be prepared to discuss how you’ve contributed to team success and supported others in their development.