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About the role
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.
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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
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&Data2026
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.
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