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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
1. 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
2. Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities
3. Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations
4. Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements
5. Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries
6. Present complex technical concepts and solution roadmaps to both technical and non-technical audiences
7. Lead architecture review boards and provide technical governance throughout project lifecycles
8. Oversee the implementation of data lakes, data warehouses, and lakehouse architectures
9. Ensure solutions are optimized for performance, cost-efficiency, and scalability
10. Define integration patterns between cloud platforms, third-party applications, and legacy systems
11. Actively contribute to practice development as a technical thought leader in AI and Data topics
12. Understanding of building and integrating Agentic AI solutions into existing cloud platforms
13. Mentor junior architects and technical teams on best practices and emerging technologies
Essential Qualifications
14. STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
15. One or more Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP
Essential Criteria
16. 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
17. Able to lead design for end to end AI and data solutions across multiple cloud platforms
18. Able to define governance frameworks, security protocols and compliance standards
19. Operates as a trusted advisor to IT and senior stakeholders
20. Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS, Google GCP
21. Hands on experience with Microsoft Fabric, Snowflake and/or Databricks
22. TOGAF experience
Soft Skills
23. Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies
24. Exceptional communication and presentation skills with ability to influence senior stakeholders
25. Strong analytical and problem-solving capabilities
26. Ability to manage multiple client engagements simultaneously
27. Collaborative mindset with experience working in cross-functional teams
28. Coaching mindset to support the development of junior team members
Preferred Criteria
29. Understanding of AI Architecture front end, UI/UX, and how AI is consumed
30. Experience preparing technical solutions and architectures as part of bid responses and proposals
31. Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation
32. Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry
33. Experience with domain-specific use cases such as commercial, supply chain, finance or operations
EY | Building a better working world
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.