Job Description Purpose of the Role
To define, direct and govern the bank’s target data architecture (including the 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 bank’s 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 bank’s 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 bank’s physical data resources, e.g. database, interfaces and reports.
* Monitoring applicable regulatory standards and industry developments for potential impact on the bank’s 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.
For people leaders, define jobs and responsibilities, plan future departmental needs, counsel employees on performance, and influence decision‑making. Lead specialists to influence operations, balance short‑ and long‑term goals and ensure budgets and schedules meet corporate requirements.
For individual contributors, act as a subject‑matter expert, guide technical direction, lead collaborative, multi‑year assignments, coach less experienced specialists, and provide insight that affects long‑term profits, organisational risks and strategic decisions.
Leadership Behaviours
* Listen and be authentic.
* Energise and inspire.
* Align across the enterprise.
* Develop others.
Role Responsibilities & Qualifications
To be successful as an AI Enterprise Architect, you should have experience with:
* 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.
Additional valued skills may include:
* 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.
You may be assessed on key critical skills such as 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.
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