Enterprise Architect

Job Title: Enterprise Architect (AI & Data)

Location: Swindon

Job Type: Permanent

Mode of Working: Office Based

Role Overview

We are seeking an experienced Enterprise Architect – AI & Data to lead the definition and execution of enterprise-scale data and AI architectures for financial services clients.

You will provide strategic guardrails, independent challenge, and outcome-led guidance across large-scale, regulated transformations, acting as a trusted advisor to CxOs. Working closely with client technology leadership, business stakeholders, delivery teams, and partners, you will drive transformation across data platforms, advanced analytics, machine learning, and AI-enabled services.

Key Responsibilities

• Define and own the enterprise AI & Data architecture vision and roadmap, aligned to business strategy and regulatory obligations.
• Design scalable, secure, and resilient data platforms across cloud, hybrid, and on-premise environments.
• Lead architecture for advanced analytics, machine learning, Generative AI, and MLOps, ensuring production-grade robustness and reliability.
• Establish AI governance, data management, and responsible AI frameworks, covering security, privacy, explainability, and model risk controls.
• Translate business outcomes into clear architecture patterns, reference architectures, and enterprise standards.
• Advise senior client stakeholders (CIO, CDO, CRO, Heads of Data/AI) on AI & Data transformation decisions and trade-offs.
• Evaluate and recommend platforms, tools, and technologies across data engineering, AI, analytics, and integration layers.
• Produce and maintain high-quality architecture artefacts, including target-state designs, transition roadmaps, and solution blueprints.
• Support large-scale transformation initiatives such as platform modernisation, cloud migration, and enterprise AI adoption programmes.

Essential Experience & Skills

• Proven experience as an Enterprise or Lead Architect on AI & Data programmes, preferably within banking or financial services (BFSI).
• Strong expertise in data architecture, including data lakes, lakehouse, data warehouses, streaming, metadata management, and data governance.
• Hands-on experience designing AI/ML/GenAI architectures, including model lifecycle management and MLOps practices.
• Experience designing solutions on major cloud platforms (AWS, Azure, or GCP), leveraging native data and AI services.
• Solid understanding of security, privacy, regulatory, and risk considerations relevant to BFSI (data protection, model risk, auditability, and compliance).
• Strong knowledge of SDLC, agile delivery models, and architectural governance frameworks.
• Excellent analytical, problem-solving, and decision-making skills.
• Exceptional communication and stakeholder management skills with the ability to engage credibly at executive (CxO) level.

Desirable Experience & Skills

• 15+ years in enterprise architecture, data, and AI leadership roles.
• Extensive BFSI transformation experience across large, complex programmes.
• Proven CxO advisory capability and experience influencing at the highest levels.
• Deep expertise in enterprise architecture, data products/platforms, and AI/GenAI solutions in highly regulated environments.
• Experience working with global, multi-vendor delivery teams.
• Industry certifications in cloud, data, or architecture (e.g., TOGAF, AWS/Azure/GCP Architect, CDMP, or equivalent).