Senior Manager, AI & Data Solution Architect, TC UKI
Role details
Job location
Tech stack
Job description
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
Requirements
-
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