Senior Manager, AI & Data Solution Architect, UKI

Job Overview

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 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, 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.
• Mentor junior architects and technical teams on best practices and emerging technologies.

Qualifications

• STEM degree or 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 organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences.
• Ability to lead design for end‑to‑end AI and data solutions across multiple cloud platforms.
• Ability to define governance frameworks, security protocols, and compliance standards.
• Operations 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, exceptional communication and presentation skills, strong analytical and problem‑solving capabilities, ability to manage multiple client engagements simultaneously, collaborative mindset, coaching mindset.

Preferred Qualifications

• 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 identifying efficiency opportunities such as solution accelerators, reusable frameworks, IP development, agentic automation.
• Deep understanding of industry‑specific data challenges in life sciences, 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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