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.

Some other highly valued skills and experience include:

• 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 escalate 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. 

Purpose of the role

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. 

Accountabilities

• 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 architectures standards, principles and strategies.

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 escalate 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.