Top Tech Jobs & Startup Jobs

Lead strategy and executive reporting for the Cyber AI Transformation. Develop processes, timelines, and executive-level slide decks and talking points. Compile and analyze cyber metrics, produce insights for leadership and the Board, coordinate cross-functional stakeholders, and translate technical cyber and AI topics into clear communications for executives and partners.

Design, train, validate, and implement machine learning models using large-scale bureau and customer data. Partner with engineers and product managers to build data products, extract insights from numeric and textual data, and translate technical results into business impact using cloud and open-source tools.

Lead large-scale, technically complex cross-functional programs for enterprise platforms. Drive strategy, execution, architectural tradeoffs, dependency mitigation, platform consolidation, and grow TPM practice while collaborating with product, engineering, design, and data science teams.

Lead the Emerging AI Patterns team to define strategy and operationalize agentic and large-scale ML systems. Partner cross-functionally to design, validate, benchmark, and deploy models, influence senior leaders and regulators, and build scalable, cloud-native, open-source driven ML and MLOps practices.

Lead design, develop, test, implement, and support cloud-based data solutions and pipelines. Collaborate across Agile teams, mentor engineers, use big data and distributed tools (Spark, Kafka, Hadoop), RDBMS/NoSQL, and cloud data warehouses (Redshift, Snowflake) to deliver performant systems that enable ML and product experiences.

Lead technical strategy and hands-on delivery for Customer Management platforms, driving architecture, full‑stack development, SRE excellence, migrations, GenAI enablement, experimentation, and mentoring across large engineering organizations to improve credit offer and lifecycle experiences.

Lead and mentor engineering teams to design and deliver cloud-native, full‑stack microservices. Build solutions using modern languages, containers, orchestration, and cloud services to meet regulatory needs and improve customer experiences. Collaborate with product managers, drive technical strategy, and occasionally write or review code.

Lead risk initiatives for Card network operations, advising business partners and assurance functions, driving risk reduction, regulatory exam support, data-driven insights, risk assessments, and cross-functional collaboration to ensure resilient, compliant network operations.

Lead and mentor engineering teams to design and deliver cloud-based, full-stack microservices solutions. Collaborate with product managers, experiment with new technologies, and occasionally write or review code to meet regulatory and customer needs.

Manage FP&A for Technology: lead financial analysis, budgeting, forecasting and P&L management; develop challenger forecasting frameworks (leveraging AI), produce executive presentations, drive cost allocation redesigns, and support ad-hoc projects across Tech and Finance partners.