Manager, AI & Data Solution Architect TC UKI

Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft; Manchester; On-site; GBP 70,000 - GBP 90,000; Full time

Job summary

A global consulting firm is seeking a Manager, AI & Data Solution Architect in Manchester. This role involves designing end-to-end AI and data solutions, leading client engagements, and leveraging cloud platforms. Candidates should possess a STEM degree and relevant certifications in AI/data architecture. Strong analytical skills and a continuous learning mindset are essential. Join the team to help shape a better working world with innovative data solutions.

Qualifications

• STEM degree or 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.
• Proven track record of architecting enterprise-scale data solutions in relevant sectors.

Responsibilities

• Design and architect end-to-end AI and data solutions on cloud platforms.
• Develop comprehensive architecture blueprints for data pipelines and analytics.
• Lead technical discovery sessions with clients to understand their requirements.

Skills

Cloud Architecture

AI Solutions

Data Engineering

Client Engagement

Technical Advisory

Education

STEM degree or equivalent certification

Tools

Snowflake

Databricks

Microsoft Azure

AWS

Google GCP

Job description

Manager, AI & Data Solution Architect, TC UKI

Location: Manchester

Other locations: Primary Location Only

Requisition ID: 1657242

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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.

Responsibilities

• 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
• 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

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

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