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.
* 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).
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