Senior Manager, AI & Data Solution Architect, TC UKI

EY
Greater Manchester
4 months ago
Applications closed

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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. 

Impact you deliver for our clients 

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 Criteria 

One or more Advanced level AI and Data architecture certifications in Snowflake, Microsoft Azure, AWS or Databricks. Proven track record of architecting enterprise-scale data and ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP  Hands on experience with Microsoft Azure, Snowflake and/or Databricks 

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 

Desired 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 with 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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