Barclays
Data Product Delivery Lead

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Job Description
Purpose of the Role
To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Accountabilities
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
- Designing and building data pipelines to automate data movement and processing.
- Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
- Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
- Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
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.
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Role Description
Join Barclays in CDAO as a Data Technology Partner, where you will act as the strategic link between the Enterprise Data Platform and senior business, technology, product and engineering stakeholders. You will help business areas maximise value from Barclays’ cloud, data and analytics capabilities by understanding strategic priorities, identifying technology opportunities, shaping high-level solution and architecture direction, and influencing platform roadmaps. You will work closely with leaders and delivery teams to manage interlocks, dependencies and risks across complex cloud-based environments, supporting platform adoption, strategic alignment and delivery of long-term business value.


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This is not a hands-on engineering role, but you will be expected to engage credibly with technical teams and business leaders, using your understanding of cloud technologies, enterprise architecture, data platforms and technology lifecycles to drive outcomes.
Requirements
To be successful as a Data Technology Partner, you should have:
- Proven experience partnering with business, operations and technology teams within financial services to shape design artefacts, support end-to-end change initiatives and deliver outcomes aligned to business value.
- Knowledge of technologies such as Databricks, Snowflake, Kafka or Iceberg and how they support enterprise data, analytics and platform capabilities.
- Strong understanding of cloud-based data platforms, enterprise architecture, technology lifecycles and how data and analytics capabilities can support strategic business priorities.
- Experience managing interlocks, dependencies, risks and priorities across complex technology or cloud environments, working with multiple senior stakeholders and delivery teams.
- Product, platform or technology ownership experience, including influencing strategy, prioritisation, roadmaps and delivery across business and engineering teams.
- Strong stakeholder management and communication skills, with the ability to engage credibly with both senior business leaders and technical teams.
Highly Valued Skills
- Good understanding of cloud technologies and data principles across AWS, Azure or GCP, or experience supporting large-scale cloud or data migration programmes.
- Strong project governance experience, including prioritising multiple workstreams, tracking delivery progress, managing risks and supporting senior governance forums.
- Experience working in Agile delivery environments, including backlog prioritisation, roadmap planning, dependency management or cross-team delivery alignment.
- Product Owner experience, particularly with cloud platforms, data tools, infrastructure products or technology enablement capabilities.
Assessment
You may be assessed on the key critical skills relevant for success in role, such as business acumen, strategic thinking, digital and technology, change and transformation, and stakeholder management, as well as job-specific technical skills.
Location
This role is based in Glasgow, with a hybrid working model of working a minimum of 3 days per week in the office.
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