Job Specification
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.
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
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 ability to influence senior stakeholders
- Strong analytical and problem‑solving capabilitiesAbility 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 of 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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