Data Model Developer

慨正橡扯; Northampton; On-site; GBP 120,000 - 210,000; Full time

Job summary

Barclays is seeking a Data Modelling VP to define and lead enterprise data architectures across multiple domains. You will set modelling direction, ensure regulatory alignment, and translate business needs into scalable data models for large financial ecosystems.

You will partner with Product, Engineering, Architecture, and Controls to deliver robust, reusable models ready for enterprise-scale deployment and governance.

Qualifications

• Experience leading enterprise-grade data modelling across large financial domains.
• Define modelling standards, metadata structures and lineage.
• Drive data modelling quality, versioning and cross-domain consistency.

Responsibilities

• Lead design of conceptual, logical and physical data models.
• Collaborate with Product, Engineering, Architecture and Controls teams.
• Define semantic standards and regulatory alignment for data models.
• Shape physical schemas and guide workload placement on cloud platforms.
• Monitor model performance and address issues or biases.

Skills

Enterprise modelling

Data governance

Stakeholder management

Semantic standards

SQL

Education

Bachelor's degree in a relevant field

Master's degree in IS/CS or related field

Tools

AWS

Snowflake

Databricks

SQL

Data catalog tooling

Job description

Join us at Barclays as a Data Modelling Vice President (VP). We’re looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power our strategic data products across BUK. In this role, you’ll set the modelling direction for multiple domains, ensure semantic and regulatory alignment, and translate complex business and regulatory needs into high‑quality, scalable data models. You’ll work closely with Product, Engineering, Architecture, and Controls teams to build models that are robust, reusable, and ready for enterprise‑scale implementation.

To be successful as a Data Modelling VP, you should have experience with:

• Leading the design and governance of enterprise‑grade conceptual, logical, and physical data models across large financial domains.
• Defining modelling standards, metadata structures, lineage requirements, and CDE frameworks that meet audit and regulatory expectations.
• Driving modelling quality, versioning, semantic clarity, and cross‑domain consistency at scale.
• Partnering with engineering teams to shape physical schemas, optimise performance, and guide workload placement across cloud platforms (AWS, Snowflake, Databricks).
• Influencing senior stakeholders across Product, Controls, Architecture, and Engineering to align on business rules, semantic definitions, and strategic priorities.

Some other highly valued skills may include:

• Expertise in SQL, complex schema design, and performance optimisation in cloud environments.
• Strong understanding of data governance, control frameworks, lineage, cataloguing, and regulatory traceability.
• Experience shaping canonical models, data dictionaries, and enterprise‑wide semantic standards.
• Exceptional communication and storytelling skills to translate complex models into clear narratives for senior technical and non‑technical stakeholders.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job‑specific technical skills.

This role has the option to work from the following locations: Northampton, Knutsford or Glasgow.

Purpose of the role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision‑making by analysis and solving complex problems.

Accountabilities

• Acquisition and collection of data from various sources, including internal databases, external datasets, and real‑time feeds.
• Performing data cleaning and pre‑processing tasks to ensure data quality and suitability for model development.
• Design and implementation of data management strategies for model maintenance and future development.
• Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
• Monitoring model performance in real‑time and identify any potential issues or biases.

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, 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.

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.