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.
- Other info: Collaborative environment with a focus on continuous learning and career development.
- Why this job: Shape the future with cutting-edge technology and make a real impact.
- Qualifications: STEM degree and experience in AI and data architecture required.
The predicted salary is between 60000 - 80000 € 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.
Impact you deliver for our clients:
- Design and architect end-to-end AI and data solutions on Azure or AWS or Google GCS, leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data pipeline, storage, 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 in a specific area 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.
- Contribute to architecture review boards and input to technical governance throughout project lifecycles.
- Deliver 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.
- 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 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 contribute to the design of end to end AI and data solutions across multiple cloud platforms.
- Contribute to governance frameworks, security protocols and compliance standards.
- 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.
- Strong communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem-solving capabilities.
- Ability to manage or lead client engagements.
- 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 of contributing to 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.
- Experience or 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.
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 employer: EY Société d'Avocats
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Manager in AI & Data Solution Architecture, you will have access to unparalleled growth opportunities, mentorship from industry leaders, and the chance to work on innovative projects that shape the future of technology. With a commitment to continuous learning and a collaborative environment, EY is an exceptional employer for those looking to make a meaningful impact in a globally connected setting.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, AI & Data Solution Architect, TC UKI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into EY's projects and values. Show us that you understand their mission to build a better working world and how your skills in AI and data can contribute to that.
✨Tip Number 3
Practice your presentation skills! You’ll need to explain complex tech concepts to non-tech folks. We suggest doing mock presentations with friends or family to get comfortable.
✨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.
We think you need these skills to ace Manager, AI & Data Solution Architect, TC UKI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI and data solutions, especially if you've worked with Azure, AWS, or Google GCS.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've designed and implemented data solutions in the past, and don’t forget to mention your continuous learning mindset!
Showcase Your Soft Skills:We value strong communication and collaboration skills just as much as technical expertise. Make sure to include instances where you've influenced stakeholders or mentored junior team members.
Apply Through Our Website:For the best chance of success, apply directly through our website. It’s the easiest way for us to see your application and get you on the path to joining our team!
How to prepare for a job interview at EY Société d'Avocats
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific AI and data solutions mentioned in the job description, like Azure, AWS, and Snowflake. Brush up on your knowledge of cloud-native architectures and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Strategic Thinking
Prepare examples that demonstrate your ability to bridge business requirements with technical execution. Think about times when you’ve designed end-to-end solutions that delivered measurable business value, and be ready to share those stories during the interview.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll likely need to present ideas to both technical and non-technical audiences, so being able to adapt your communication style is key. Consider doing mock interviews with friends or colleagues to refine your delivery.
✨Be Ready to Discuss Governance and Compliance
Since the role involves defining governance frameworks and security protocols, prepare to discuss your experience with compliance standards in the industry. Have examples ready that illustrate how you’ve ensured data security and compliance in previous roles.
