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Lead analytical projects within the NAM Citigold business, providing insights through data manipulation, storytelling, and collaboration with stakeholders.

Lead applications systems analysis and programming activities, coordinating with multiple teams, analyzing business processes, and providing expertise in application design and compliance. Mentor developers while ensuring adherence to the architecture blueprint.

The VP of Software Engineering will lead engineering initiatives, mentor engineers, drive Generative AI adoption, and ensure compliance with security standards while building scalable systems using cloud-native architecture.

Responsible for application systems analysis, design, and programming. Engage in system implementation, user support, and project management while recommending advanced programming solutions and security measures.

The role involves leading application systems analysis, collaborating with management, ensuring compliance, and providing expertise in PEGA development and cloud deployments.

The Director will lead Generative AI engineering initiatives focused on process efficiency and automation in finance, utilizing LLMs and fostering collaboration across tech teams.

The AVP of Software Engineering drives software development using cloud-native architectures and Generative AI, overseeing architecture, data engineering, and collaboration with DevOps teams.

Lead architecture and hands-on development of a scalable, secure agentic AI platform. Build and mentor an engineering team, integrate LLMs/agent frameworks, implement CI/CD and IaC, ensure compliance/security, partner with product and enterprise teams, and measure business KPIs for platform adoption and impact.

Design, implement, and optimize Spark-based ETL pipelines in Python to process large datasets in HDFS. Integrate Spark applications with Hadoop tools (Hive, Sqoop), troubleshoot job failures, tune performance (memory, caching, partitioning), and collaborate with engineers, analysts, and stakeholders to deliver accurate, production-ready data transformations and ingestion workflows.

Design and deliver scalable Python applications for mortgage trading, analytics, workflows, and reporting. Integrate platforms with business, risk, and product teams. Lead full development lifecycle, apply AI/GenAI to automate workflows and analysis, ensure CI/CD, testing, and production readiness, resolve complex issues, coach junior staff, and act as SME with limited supervision.