Senior Manager, AI & Data Solution Architect, UKI

Ernst & Young Advisory Services Sdn Bhd; City Of London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A global consulting firm in London is looking for an experienced AI & Data Solution Architect to lead innovative data and AI solutions for enterprise clients. This role demands technical expertise and strong leadership, as the architect will oversee the design and implementation of cloud-native architectures and drive business transformation initiatives. Candidates should possess a proven track record in architecting data solutions and have strong experience with Microsoft Azure and Snowflake.

Qualifications

• Senior Manager level experience in data and analytics, with evidenced experience in solution architecture roles.
• Proven track record of architecting enterprise-scale data solutions.
• Experience leading large-scale digital transformation or data modernization.

Responsibilities

• Design and architect AI and data solutions on Azure or AWS.
• Develop comprehensive architecture blueprints for data and AI.
• Lead technical discovery sessions with clients for architectural requirements.

Skills

Team leadership

Solution architecture

Deep expertise in Microsoft Azure

Snowflake

Databricks

AI/ML frameworks

DevOps/DataOps practices

Client-facing consulting

Education

Advanced AI and Data architecture certification

Tools

Microsoft Azure

AWS Data and AI Services

Job description

Location: London

Other locations: Primary Location Only

Date: 24 Oct 2025

Requisition ID: 1654295

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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.

• Design and architect end-to-end AI and data solutions on Azure or AWS, leveraging modern data and AI platforms such as Snowflake and Databricks
• Develop comprehensive architecture blueprints including data ingestion, processing, storage, analytics, and AI/ML capabilities
• Define data 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

Required Qualifications

Experience

• senior Manager level experience in data and analytics, with evidenced experiece in solution architecture roles
• Strong team leadership skills with ability to inspire and coach a team of solution architects
• Proven track record of architecting enterprise‑scale data solutions for organizations in consumer products, retail, health, energy or life sciences industries
• Deep expertise in Microsoft Azure data and AI services or AWS Data and AI Services.
• Strong hands‑on experience with Snowflake and/or Databricks platforms
• Experience leading large‑scale digital transformation or data modernisation migration programs with experience in cloud‑native data architectures including data lakes, data warehouses, and lakehouse patterns
• Strong understanding of AI/ML frameworks, MLOps practices, and model governance including familiarity with DevOps/DataOps practices and CI/CD pipelines
• Mentor junior architects and technical teams on best practices and emerging technologies
• Stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies and Identify opportunities for solution accelerators, reusable frameworks, and IP development
• Prepare technical solutions and architectures as part of bid responses and proposals

Preferred Qualifications

• 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
• Advanced level AI and Data architecture certification in Snowflake. Microsoft Azure , AWS or Databricks

Soft Skills

• 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
• Client‑facing consulting experience with Big 4 or similar professional services firms preferred

Location: London or Manchester

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