Senior Manager, AI & Data Solution Architect
UKI Location: London (Primary). Salary: Competitive. Posted: 22 Nov 2025.
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.
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 pipelines, 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.
- Understand 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.
Essential Criteria
- 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 the 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 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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