EY
Senior Manager, AI & Data Solution Architect, UKI
OnsiteSeniorLondon, the United KingdomHealthTechB2B SaaSEnterpriseAI/MLPlatform
Our Take
Architect AI and data solutions for enterprise clients on Azure, AWS, or GCP.
What you’ll do
- Design and architect end-to-end AI and data solutions
- Develop architecture blueprints for data pipelines, analytics, AI/ML
- Define data and AI governance, security, and compliance frameworks
- Lead technical discovery sessions with clients
- Serve as trusted technical advisor to senior stakeholders
- Present complex technical concepts to diverse audiences
- Oversee implementation of data lakes, warehouses, lakehouses
- Define integration patterns between cloud platforms
What they’re looking for
- STEM degree or equivalent certification
- Advanced AI/Data architecture certs (Snowflake, Databricks, Azure, AWS, GCP)
- Proven track record architecting enterprise-scale data/analytics/ML solutions
- Experience in consumer products, retail, health, energy, or life sciences
- Expertise in Azure, AWS, or GCP
- Hands-on experience with Fabric, Snowflake, or Databricks
What you get
- Global career opportunities
- Diverse teams
- Continuous learning support
- Mentorship for junior architects
Skills & Focus Areas
- Azure
- AWS
- GCP
- Snowflake
- Databricks
- AI/ML
- Data Warehousing
- Data Lakes
As posted by EY
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&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.