Senior Engineering Lead- Senior Vice President

This is a Senior Lead Engineer position responsible for establishing and implementing innovative technology solutions and programs in coordination with the Technology Team. The overall objective of this role is to lead complex engineering initiatives across various domains, including Business Intelligence (BI) tools, Big Data, Agentic AI, and Machine Learning. We are looking for a Senior Principal Engineer with extensive experience building robust, high-performance, and large-scale applications. We are constantly evolving our significant software assets and are seeking a leader who is passionate about leveraging diverse technologies to drive technical excellence and innovation. Team Background The Credit Risk Technology Team is responsible for delivering Counterparty Credit Risk Management software solutions. These tools allow sales, traders, operations staff and risk officers to manage Citi's exposure to financial institutions, governments and corporates that trade with Citi. The team builds and maintains software that provides a complete platform for their users: limit monitoring, exception management, stress testing analysis and escalation workflow capabilities are some key areas of focus. Key Responsibilities Provide technical leadership and development oversight to the wider team of Software Engineers/Analysts. Ensure application design adheres to the appropriate archi [... source excerpt omitted ...] telligent systems development. Appropriately assess risk when decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Ideal background Full-stack developer with 10+ years of experience in designing and developing robust, scalable, and maintainable applications applying Object Oriented Design principles. Hands-on experience in Web technologies (HT [... source excerpt omitted ...] and auditability for AI systems. Ability to evaluate design trade-offs and document choices effectively. Demonstrated capacity to build sophisticated tooling for development and production team use. Preferred: Knowledge and experience with Business Intelligence (BI) tools such as Tableau and Cognos for data visualization and reporting. Experience with Big Data querying tools including Google BigQuery, Starburst, and DuckDB. Experience with prominent Machine Learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face) and their deployment in production. Deep understanding and practical application of Machine Learning algorithms (supervised, unsupe