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Portfolio Insights Lead, VP
Job in
Wilmington, New Castle County, Delaware, 19894, USA
Listed on 2026-07-02
Listing for:
hackajob
Full Time
position Listed on 2026-07-02
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Portfolio Insights Lead, VP
Barclays Bank Delaware seeks a Portfolio Insights Lead, VP in Wilmington, DE (multiple positions available).
- Drive acquisitions strategy and optimize investment decisions for the Cobrand card business.
- Responsible for analytics to drive profitable new account growth and optimize investment decisions across offer, targeting, and partner risk/reward valuations.
- Provide analytical support to key partners while providing thought leadership to identify business opportunities.
- Work with cross functional teams to support business strategy and stakeholder management to ensure timely completion of initiatives.
- Execute the analytical framework to support strategic directive within both the Partnership Segment and the Credit and Data Analytics team.
- Create, assemble and monitor key performance indicators that measure value across the Partnership Segment for programs and initiatives.
- Perform primary and secondary analysis to identify both short-term and long-term growth and profitability opportunities.
- Identify areas for enhancement and develop reporting tools to track key performance indicators across the Partnership Business.
- Use analytics, optimize population, offer and channel strategies through profit and loss statistics to support overall portfolio growth.
- Collaborate with internal and external key stakeholders to identify new opportunities for profitable portfolio growth.
- Meet with vendors and business partners to identify new sources of data and drive incremental value.
- Provide business updates to the partnership leadership team on a continuous basis.
This position is eligible for incentives pursuant to Barclays Employee Referral Program.
Purpose of the roleTo 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.
- 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 escape 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…
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