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.
Impact you deliver for our clients
- Design and architect end-to-end AI and data solutions on Azure or AWS, leveraging modern data and AI platforms such as Snowflake and Databricks
- Develop comprehensive architecture blueprints including data ingestion, processing, storage, analytics, and AI/ML capabilities
- Define data 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
Required Qualifications
Experience
- 10 – 12 years of experience in data and analytics, with at least 4 years in solution architecture roles
- Strong team leadership skills with ability to inspire and coach a team of solution architects
- Proven track record of architecting enterprise-scale data solutions for organizations in consumer products, retail, health, energy or life sciences industries
- Deep expertise in Microsoft Azure data and AI services or AWS Data and AI Services.
- Strong hands-on experience with Snowflake and/or Databricks platforms
- Experience leading large-scale digital transformation or data modernisation migration programs with experience in cloud-native data architectures including data lakes, data warehouses, and lakehouse patterns
- Strong understanding of AI/ML frameworks, MLOps practices, and model governance including familiarity with DevOps/DataOps practices and CI/CD pipelines
- Mentor junior architects and technical teams on best practices and emerging technologies
- Stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies and Identify opportunities for solution accelerators, reusable frameworks, and IP development
- Prepare technical solutions and architectures as part of bid responses and proposals
Preferred Qualifications
- 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
- Advanced level AI and Data architecture certification in Snowflake. Microsoft Azure , AWS or Databricks
Soft Skills
- 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
- Client-facing consulting experience with Big 4 or similar professional services firms preferred
Location: London or Manchester
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