Senior Manager, AI & Data Solution Architect, UKI

Iris Software; City Of London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

A leading technology consulting firm is seeking an experienced AI & Data Solution Architect in London or Manchester. This role requires a strategic thinker to design and implement data solutions leveraging Azure or AWS, leading teams to deliver impactful cloud-native architectures. Candidates should have senior management experience in data, strong Azure and Snowflake skills, and the ability to mentor others. Expect to influence senior stakeholders and manage client engagements.

Qualifications

• Senior Manager experience in solution architecture roles is required.
• Experience leading digital transformation or data modernization migration programs.
• Mentor junior architects and technical teams on best practices.

Responsibilities

• Design end-to-end AI and data solutions on Azure or AWS.
• Lead architecture review boards and provide technical governance.
• Oversee the implementation of data lakes, data warehouses, and lakehouse architectures.

Skills

Senior Manager level experience in data and analytics

Strong team leadership skills

Deep expertise in Microsoft Azure data and AI services

Strong hands-on experience with Snowflake and/or Databricks

Strong understanding of AI/ML frameworks

Exceptional communication and presentation skills

Education

Advanced level AI and Data architecture certification

Job description

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

• Senior Manager level experience in data and analytics, with evidenced experience 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