Senior Manager AI & Data Solution Architect TC UKI

Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft; Manchester; On-site; GBP 85,000 - 105,000; Full time

Job summary

A leading consulting firm in Manchester seeks a Senior Manager in AI & Data Solution Architect to lead the design and implementation of innovative data and AI solutions. The ideal candidate will possess a STEM degree, advanced certifications in relevant platforms, and a proven track record in enterprise-scale architecture. Responsibilities include designing solutions on Azure, AWS, and Google platforms, mentoring junior architects, and collaborating with senior stakeholders. This role requires a strategic thinker with strong communication skills to influence and deliver measurable business value.

Qualifications

• Proven track record in enterprise-scale data and AI solutions.
• Able to lead design for end-to-end AI and data solutions.
• Deep expertise in Microsoft Azure, AWS or Google GCP.

Responsibilities

• Design and architect end-to-end AI and data solutions.
• Lead technical discovery sessions with clients.
• Oversee implementation of data lakes and data warehouses.

Skills

AI architecture

Data solutions

Cloud platforms (Azure, AWS, GCP)

Data governance

Communication skills

Problem-solving

Education

STEM degree or equivalent certification

Advanced AI and Data architecture certifications

Tools

Microsoft Fabric

Snowflake

Databricks

Job description

Senior Manager, AI & Data Solution Architect, TC UKI

Location: Manchester

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.

• 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 blue 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
• 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

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