Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Product Manager

Knutsford
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Analyst

Data Analyst - Paid Marketing

Data Analyst

Senior Data Scientist - Product Analytics

Senior Data Scientist

Step into the role of a Senior Data Product Manager at Barclays, where you'll drive the development of key data products, working with business owners to capture the key priorities and shape the problem statement into a clear backlog of ready work for the feature team. Define the roadmap for given data products, prioritising backlog and ensuring deliverables meet the definition of done. The purpose of this role is to ollaborate with product owners and other technical teams involved in the product development process and utilise their knowledge of the bank’s technologies to enact the vision defined in the product roadmap.

To be successful in this role you should have experience with:

Data & Analytics

Requirements Analysis

Senior Stakeholder Management

Working towards large scale deliverables

Agile Methodology

Some other highly valued skills may include:

Technical background with Data Engineer, Data Warehousing and Data Governance

Change and Transformation

You may be assessed on 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 may be based out of Northampton or Knutsford.

Purpose of the role

To collaborate with product owners and other technical teams involved in the product development process and utilise their knowledge of the bank’s technologies to enact the vision defined in the product roadmap. 

Accountabilities

Provision of subject matter expertise to support the collaboration between the product owner and the technical side of product development.

Support the development and implementation of the product strategy and vision defined in the product roadmap and communicate them with the relevant stakeholders and the development team.

Collaboration with internal stakeholders to gather and prioritise product requirements and features based on business value and feasibility that are well defined, measurable and secure.

Development and implementation of assessments to ensure continuous testing and improvement of product quality and performance.

Monitoring of product performance to identify opportunities for optimisation that meets the banks performance standards.

Stay abreast of the latest industry technology trends and technologies, to evaluate and adopt new approaches to improve product development and delivery.

Vice President Expectations

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.