Data Product Manager

Join us as a Data Product Manager within Chief Data Analytics Office, where you will play a leading role in shaping and driving the delivery of logical data models that underpin critical data flows across Corporate Banking. This role has a strong delivery focus and requires confidence operating in a complex, fast changing, and highly governed environment.

To be successful as a Data Product Manager, you should have:

• Advanced proficiency in designing logical data models, ensuring they are clear, reusable, and aligned to enterprise standards.
• Proven experience translating business models, process flows, and source system inputs into enterprise ready data models.
• Ample people and collaboration skills, with confidence working closely with data architects and data engineers to design and drive outcomes which can be communicated in Business language and value.
• Experience reviewing and sense checking data models produced by delivery teams, identifying gaps, inconsistencies, and wider design implications.
• Excellent attention to detail, with the ability to assess models holistically and understand downstream impacts across governance and delivery.

• Strong Corporate Banking domain knowledge, particularly understanding critical data flows.
• Experience using ER Studio or similar data modelling tools.
• Proven experience working in a regulatory environment.
• Ability to elevate issues, articulate design risks, and challenge constructively where standards or requirements are not being met.

You may be assessed on key critical skills such as logical data modelling, governance consistency, stakeholder communication, delivery leadership, and understanding of enterprise data implications.

This role is based in Glasgow.

To design, implement, and maintain conceptual, logical and physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms.

• Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
• Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
• Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
• Strategic architecture definition and product selection.
• Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
• Implementation of architectures and identification, ownership and resolution of design related issues.
• Definition and documentation of data architecture standards, principles and strategies.

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.