Manager, AI & Data Solution Architect, TC UKI at EY

Salford, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Data Architecture, Cloud Computing, Azure, AWS, Google Cloud Platform, Snowflake, Databricks, Microsoft Fabric, Machine Learning, Data Engineering, TOGAF, Stakeholder Management, Solution Architecture, Governance Frameworks, Agentic AI

Industry

Professional Services

Description

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. Grade: 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. 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 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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Responsibilities

Design and architect end-to-end AI and data solutions on cloud platforms while bridging business requirements with technical execution. Lead technical discovery sessions and serve as a trusted advisor to senior stakeholders across various industries.