Senior Manager, Data Analysis - Network Platforms and Product Operations

Senior Manager, Data Analysis - Network Platforms and Product Operations

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

 

At the Discover Global Payment Network, data is the engine that powers our core platforms and products. As a Senior Manager, Data Analysis within the Platform Operations Tower, you will be the technical architect and strategic leader responsible for helping transform massive, high-volume transactional data streams into core analytical assets.

Operating alongside our Senior Managers of Business Analysis, you will own data strategy, architecture, and modeling frameworks for core network platforms, value-added services, and servicing portals. You will establish the technical roadmap for  monitoring and anomaly detection, optimize complex backend operational data schemas, and serve as a technical interface with the Central Data & Governance teams. 

On a given day you will be:

• Refining the analytical assets and core monitoring  framework across the Network Platforms and Products (NPP) tower.

• Planning and executing data architecture and automated platform monitoring projects.

• Assessing the quality, scalability, and performance of real-time transactional data logs (e.g., auth, settlement, and portal logs) and the nature of their usage across product domains.

• Understanding complex technical issues and gaps in network data and proactively assessing data-driven risks, anomalies, and operational optimization opportunities.

• Communicating technical results and data trends clearly and concisely both verbally and through written communications via operational reports, dashboards, and executive presentations.

• Partnering with the Central Global Analytics team to align local NPP data assets with enterprise data strategy, cloud infrastructure, and global governance mandates.

• Coaching and mentoring technical staff, setting high engineering standards for data utilization across the team.

 

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. 

 

Basic Qualifications

• Has Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies 

• At least 2 years of experience managing people

Preferred Qualifications: 

•  Master’s Degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related field 

• At least 7 years of hands-on experience working with high-volume, semi-structured transactional and application log data.

• At least 5 years of experience manipulating, optimizing, and performing analysis with massive, enterprise-scale datasets.

• At least 5 years of experience in financial services industry 

• At least 5 years of experience in developing statistical or econometric models 

• At least 5 years of experience in validating statistical or econometric models 

• At least 2 years of experience with data governance 

• At least 2 years of experience with predictive analytics, time-series forecasting, or implementing A