Manager, AI & Data Solution Architect
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. Your client impact
- 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
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STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
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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 organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences
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Able to lead design for end to end AI and data solutions across multiple cloud platforms
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Able to define governance frameworks, security protocols and compliance standards
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Operates as a trusted advisor to IT and senior stakeholders
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Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP
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Hands on experience with Microsoft Fabric, Snowflake and/or Databricks
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TOGAF experience Soft Skills
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Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies
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Exceptional communication and presentation skills with ability to influence senior stakeholders
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Strong analytical and problem-solving capabilities
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Ability to manage multiple client engagements simultaneously
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Collaborative mindset with experience working in cross-functional teams
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Coaching mindset to support the development of junior team members Preferred Criteria
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Understanding of AI Architecture front end, UI/UX, and how AI is consumed
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Experience preparing technical solutions and architectures as part of bid responses and proposals
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Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation
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Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry
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Experience with domain-specific use cases such as commercial, supply chain, finance or operations AI&Data2026