Portfolio Insights Lead, VP

Barclays•Wilmington, DE

1d•Onsite

About The Position

The purpose of the role is 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 visualizations and reports. This includes investigating and analyzing data issues, designing and building data pipelines, applying advanced analytical techniques to uncover trends and correlations, developing validated logical data models, and translating insights into actionable business recommendations. The role also involves creating interactive dashboards and visual reports, automating reporting processes, and contributing to strategy setting, requirements definition, and change recommendations. For individual contributors, this role involves being a subject matter expert, guiding technical direction, leading collaborative assignments, and training less experienced specialists. For people leaders, it involves defining jobs and responsibilities, planning for department needs, counseling employees, and leading specialists to influence operations. The role requires advising key stakeholders, managing and mitigating risks, demonstrating a comprehensive understanding of organizational functions, collaborating with other areas, creating solutions based on sophisticated analytical thought, and building trusting relationships with stakeholders. All colleagues are expected to demonstrate Barclays Values and Mindset.

Requirements

Extracting actionable insights from large datasets
Performing statistical and advanced analytics
Presenting findings through clear visualizations and reports
Investigating and analyzing 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
Applying advanced analytical techniques to large datasets to uncover trends and correlations
Developing validated logical data models
Translating insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Designing and creating interactive dashboards and visual reports using applicable tools
Automating reporting processes for regular and ad-hoc stakeholder needs
Contributing to or setting strategy, driving requirements, and making recommendations for change
Planning resources, budgets, and policies
Managing and maintaining policies/processes
Delivering continuous improvements and escalating breaches of policies/procedures
Advising key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment
Managing and mitigating risks through assessment, in support of the control and governance agenda
Demonstrating leadership and accountability for managing risk and strengthening controls in relation to the work your team does
Demonstrating comprehensive understanding of the organization functions to contribute to achieving the goals of the business
Collaborating with other areas of work, for business-aligned support areas to keep up to speed with business activity and business strategies
Creating solutions based on sophisticated analytical thought comparing and selecting complex alternatives
In-depth analysis with interpretative thinking to define problems and develop innovative solutions
Adopting and including the outcomes of extensive research in problem-solving processes
Seeking out, building, and maintaining trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes
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 lost 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

Nice To Haves

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 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.

Responsibilities

Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification.
Document data sources, methodologies, and quality findings with recommendations for improvement.
Design and build 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.
Translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Design and create interactive dashboards and visual reports using applicable tools.
Automate reporting processes for regular and ad-hoc stakeholder needs.
Drive acquisitions strategy and optimize investment decisions for the Cobrand card business.
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.
Execute the analytical framework to support strategic directives.
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 to 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.