Top Tech Jobs & Startup Jobs

Lead strategy and analytics for consumer identity and fraud prevention. Drive product, credit risk modeling, and cross-LOB data use. Partner with product, engineering, and business teams, manage 1-2 analysts, and deliver analytics-driven decisions to reduce fraud and improve customer experience.

Lead end-to-end process and project management for brand social and content work: intake, governance, scheduling, risk mitigation, cross-functional liaison, and GEO content production. Establish and improve processes, manage multiple concurrent projects, and ensure compliance with policies to deliver quality outcomes.

Lead process management and workforce operations for contact center workforce. Manage teams, design process improvements, oversee short-term planning, scheduling, network health, data and systems modernization, and partner cross-functionally to deliver operational results.

Manage Strategic Intent and Change Management for the Enterprise Payments PMO: prioritize, plan, and track high‑priority initiatives, lead a team of project/process managers, run capacity planning, oversee change management for operational readiness, manage cross‑functional stakeholders, own reporting and escalations, and apply AI to improve process efficiencies.

Lead the Card Tech+ finance team, own budgeting and forecasting, provide strategic financial insights to business partners, analyze cost drivers and financial trajectory, develop associates, and present executive-ready analysis to influence decisions.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

Lead Platform Engineer responsible for building and supporting DevOps tools, monitoring platform performance and security, automating infrastructure, collaborating with architecture and software teams, leading engineers, and improving platform practices using scripting, container orchestration, CM tools, and AWS.

Design, build, deploy, and maintain production ML models and data pipelines at scale. Collaborate with product and data science teams, optimize ML infrastructure, apply CI/CD, monitor model performance, and ensure responsible, explainable AI practices.

Lead a team building distributed microservices and full‑stack cloud solutions. Manage a portfolio of projects, mentor engineers, collaborate with product managers, evaluate and sometimes write code, and drive technology transformation using cloud, containers, databases, and modern programming languages.