AI Enterprise Architect

Job Description

Purpose of the role: To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.

Accountabilities

• Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
• Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value‑driven data usage.
• Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
• Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
• Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
• Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports.
• Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio.
• Identification and selection of best‑in‑class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. They may also lead specialists to influence the operations of a department, aligning with strategic and tactical priorities, while balancing short‑ and long‑term goals and ensuring that budgets and schedules meet corporate requirements.

As a people leader, the expected behaviours are listening and authenticity, energizing and inspiring, aligning across the enterprise, and developing others. As an individual contributor, the role is a subject matter expert within own discipline and will guide technical direction, lead collaborative, multi‑year assignments, identify the need for inclusion of other areas of specialization, train, guide and coach specialists, and provide information affecting long‑term profits, organisational risks and strategic decisions.

Stakeholders will be advised, risks mitigated, and leadership displayed in managing risk and strengthening controls, with a comprehensive understanding of organisational functions to contribute to achieving business goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research.

Qualifications & Skills

• AI/ML Architecture: AI/ML frameworks, multi‑cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design.
• Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy.
• Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‑functional AI initiatives.
• Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services.
• Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real‑time data processing.
• Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation.
• Additional skills: Risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job‑specific technical skills.

Location

This role is based out of Knutsford.

Other Information

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset – to Empower, Challenge and Drive.

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