AI Enterprise Architect in Knutsford

AI Enterprise Architect in Knutsford

Knutsford Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Limelight Health

At a Glance

  • Tasks: Lead the design and governance of cutting-edge AI data architecture at Barclays.
  • Company: Join Barclays, a leading financial institution committed to innovation and excellence.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a focus on ethical AI and industry-leading practices.
  • Why this job: Make a real impact in the world of AI while shaping the future of banking.
  • Qualifications: Experience in AI/ML architecture and strong stakeholder engagement skills required.

The predicted salary is between 70000 - 90000 £ per year.

Role Overview

Hackajob is collaborating with Barclays to connect exceptional professionals for this role. Join us at Barclays as an AI Enterprise Architect, where you will drive the definition, direction, and governance of the bank’s target data architecture—including shared data environments, data models, and standards—in support of business strategy. Aligned to the CTO organisation and AI Accelerator, you will support the delivery of enterprise AI capabilities, patterns, and guard rails, ensuring data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford.

Key Skills / Qualifications

  • 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.

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 escape breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Company Values

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

AI Enterprise Architect in Knutsford employer: Limelight Health

Barclays is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of AI and data architecture. Located in Knutsford, employees benefit from a supportive work environment that prioritises professional growth, ethical practices, and the opportunity to lead transformative projects within the financial services sector. With a commitment to employee development and a focus on empowering teams, Barclays offers a unique platform for individuals to thrive and make a meaningful impact.

Limelight Health

Contact Details:

Limelight Health Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Enterprise Architect in Knutsford

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Limelight Health.

Apply Directly through Our Website

When you find a suitable opening like AI Enterprise Architect at Limelight Health, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Enterprise Architect in Knutsford

AI/ML Architecture
MLOps
Enterprise Architecture
AI Governance
Stakeholder Engagement
Data Management
Data Quality

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Limelight Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Limelight Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Limelight Health

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Limelight Health!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.