Job Overview
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 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 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.
- Mentor junior architects and technical teams on best practices and emerging technologies.
Qualifications
- STEM degree or 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.
- Proven track record of architecting enterprise‑scale data, analytics or ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences.
- Ability to lead design for end‑to‑end AI and data solutions across multiple cloud platforms.
- Ability to define governance frameworks, security protocols, and compliance standards.
- Operations 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, exceptional communication and presentation skills, strong analytical and problem‑solving capabilities, ability to manage multiple client engagements simultaneously, collaborative mindset, coaching mindset.
Preferred Qualifications
- 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, IP development, agentic automation.
- Deep understanding of industry‑specific data challenges in life sciences, health, consumer products, retail or energy industry.
- Experience with domain‑specific use cases such as commercial, supply chain, finance, or operations.
Senior Manager, AI & Data Solution Architect, UKI employer: Ernst & Young
Ernst & Young is an exceptional employer that prioritises employee development and fosters an inclusive culture, making it a great place for professionals seeking to advance their careers in tax and transactions. With a focus on work-life balance and the opportunity to engage with a diverse client base in vibrant cities like London, Manchester, Glasgow, and Edinburgh, employees can expect meaningful work that contributes to both personal and professional growth.
