Product Manager

About the Role

Join us as a Product Manager at Barclays, where you’ll be a part of the team making data-driven decisions to help spearhead strategy development, improve customer outcomes, and drive operational efficiencies. The successful candidate will join a dynamic team responsible for the delivery of compelling data-driven narratives that influence our strategic direction and stakeholder buy-in across Barclays Retail Financial Assistance.

Purpose of the Role

Product Managers are responsible for leading the strategic focus of the product(s), defining the product vision, market strategy, and competitive analysis. They think about the product's future and how it will evolve over time. They work with various teams, including marketing, engineering, operations, and sales, to ensure everyone is aligned on the product strategy. They use data and market research to inform their decisions and prioritize product features.

Key Responsibilities

• Define Product Strategy: Accountable for defining a product strategy that aligns with business vision, managing capabilities, balancing short-term with long-term goals, ensuring that products meet market demands and drive growth.
• Cross-functional Alignment: Leadership of cross-functional relationships, working with various cross-functional teams to ensure alignment of product strategy and goals.
• Risk and Control: Accountable for overseeing product risk management, including identification of potential risks, development of strategies to mitigate those risks, and maintenance of alignment between the product management and control functions.
• Product Development Lifecycle: Own product development lifecycle, from concept to launch, ensuring efficient processes, on-time delivery, and alignment with E2E customer expectations and experience – working with product owners to drive change objectives.
• Deliver Product Goals and Performance: Deliver clear objectives and key outcomes to steer the product vision and ensure alignment with company’s business goals, financial targets, and strategic vision, driving long-term business success.
• Data-driven Decisions: Monitor product performance through data-driven analysis and insights, regularly assessing progress against objectives and adjusting the strategies as needed to optimise outcomes and maximise value for both business and customer.
• Customer-Centric Focus: Drive a customer-first approach across the product vision, ensuring customer insights, feedback, behaviours, and pain points are at the core of the product strategy and decision-making process.
• Business and Financial Acumen: Understanding pricing models, costs structures, and ROI to make financially grounded decisions regarding product development.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise. Thorough understanding of the underlying principles and concepts within the area of expertise. 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 develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. 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.

Qualifications and Experience

• Analytical capability with expertise in data modelling, visualisation, and interpretation.
• Proven experience in supporting data optimisation within a complex organisation.
• Excellent communication to translate data into strategic narratives.
• Ability to manage changing priorities with multiple stakeholders and deliver under tight timelines.
• Knowledge about product life cycle, product knowledge – Collection and Recoveries nice to have.
• Proficient in SAS, SQL, Teradata and MS office tools.
• Analytical skills and experience in using statistical analysis techniques like Test-Control, forecasting, customer segmentation etc.

Desirable Skillsets/ Good To Have

• Strong Communication skills.
• Familiarity with AI/ML concepts and their application in business strategy.
• Knowledge about product life cycle, product knowledge – Collection and Recoveries nice to have.

Key skills/competency

• Product Manager
• Data Analysis
• Data Modelling
• Data Visualisation
• SAS
• SQL
• Teradata
• Stakeholder Management
• Business Acumen
• Product Lifecycle