Top Tech Jobs & Startup Jobs

Lead Insights & Analytics for Enterprise Risk Management: develop and execute data-driven risk strategies, manage delivery and requirements, mentor analysts, run rigorous monitoring and analysis, partner with business leaders, and communicate executive-level insights to drive risk outcomes.

Lead and maintain platform infrastructure and DevOps tools, manage Google Workspace, troubleshoot user issues, monitor performance and security, automate operations using Python/Bash, container orchestration (Docker, ECS), and CM tools (Ansible, Terraform), collaborate with Architecture and Software teams to ensure platform availability, resilience, scalability, and improved user experience.

Lead a team and portfolio delivering cloud-native, full-stack, microservices-based solutions to meet regulatory and customer needs. Collaborate with product managers, mentor engineers, and build scalable applications using JavaScript/Java/TypeScript/Python/Go, RDBMS and NoSQL, Docker/Kubernetes, and AWS while adopting emerging AI tooling.

Lead the Accounts Data Product within Project Orion to migrate legacy batch consumers off the mainframe. Act as the strategic bridge for user onboarding, balance long-term architecture with short-term execution, and drive cross-functional alignment to ensure smooth transition of thousands of historical batch consumers to the new card core.

Own and manage the Credit Card Posted Transactions data product: define strategy, ensure data is authoritative and governed, partner with cross-functional teams to enable customer experiences, drive automation and platform integration, and translate business needs into technical product solutions.

As a Manager in Data Science, you'll lead the development of machine learning models, partner with engineering and product teams, and analyze large datasets to enhance customer experiences and prevent fraud.

Lead and mentor product design efforts across interaction, visual and service design. Collaborate with product, engineering and business partners to create customer-centered solutions, prototypes, journey maps and design-system contributions that inform product strategy and drive inclusive, scalable experiences.

Lead product strategy and roadmaps for Capital One Shopping data platforms. Partner with engineers, analysts, designers, and stakeholders to define KPIs, run experiments, monitor operations, and deliver customer-focused, data-driven products. Mentor teams, prioritize initiatives, and apply AI/data skills to drive revenue and product value.

Lead vision, strategy, and execution for account-opening detection capabilities. Own the detection lifecycle, partner with Data Science, Engineering, and cross-functional teams to balance fraud prevention and frictionless customer experiences, and drive model, policy, and data integration initiatives.

Lead product strategy and delivery for Capital One's enterprise payments core platform. Define APIs, SDKs, orchestration, observability, and resiliency for payment rails (ACH, Wire, RTP, FedNow, Check). Collaborate with designers, engineers, data scientists, operations, and business partners to translate strategy into platform capabilities, developer experience, and reliable high-scale payment processing.