Data Product and Capabilities Associate

Barclays•Wilmington, NC

4d•Onsite

About The Position

Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Join Barclays as a Data Product and Capabilities Associate. At Barclays, we're building the bank of tomorrow. In this role, you will lead the design and implementation of data-driven tools and solutions that elevate the performance, scalability, and intelligence of the Barclays Partnerships credit card business. You will serve as a critical bridge between business and technology teams, driving innovation through the integration of advanced data platforms, AI-powered analytics, and cloud-native architectures. You'll be responsible for developing robust data products, managing access controls, and orchestrating strategic data transactions that unlock new insights and operational efficiencies. Additionally, you'll bring a blend of technical acumen, product thinking, and cross-functional collaboration to shape the future of data capabilities at Barclays.

Requirements

Experience in data engineering, analytics, or data science roles. Additional work experience may be used in lieu of a degree
Experience with ETL tools, cloud platforms (preferably AWS), and AI/ML frameworks
Proficiency in SQL, Python, and cloud platforms (e.g., AWS, Databricks)
Product development experience, including experience leading technical development using an agile framework

Nice To Haves

Ability to align data efforts with long-term business goals and anticipate future needs
Working across business, technology, and analytics teams to drive unified outcomes
Clear and persuasive communication with the ability to translate complex data concepts into actionable business insights
Experience engaging with senior leaders, managing expectations, and influencing decision-making

Responsibilities

Identification, collection, extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.