Trade Data AI Application Design Development Lead Sr Vice President

The Application Design / Development Lead is a hands-on senior technical & management level position and is responsible for defining and executing core architecture and technology strategy for Trade and Working Capital Solution Data and AI initiatives. The role is equal parts engineer, architect, strategist, execution driver, and change agent. This role will define and establish the Common Trade Data and Platform Engineering frameworks and associated capability delivery. The position requires a senior candidate with exceptional technical, leadership, and communication abilities.

Key Responsibilities:
o    Establish and lead an elite engineering culture focused on building core Platform components across Application and Service Frameworks, UI, and Data Engineering for use across the organization.
o    Create technology solutions and work in partnership with multiple IT teams and with Cloud providers to accelerate public cloud Adoption and harness associated emerging technologies
o    Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies.  
o    Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs).  
o    Collaborate with Risk, Compliance, and Regulatory teams to address consent order requirements related to data controls, reconciliation, and validation.  
o    Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting.  
o    Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies.  
o    Develop and enforce data security and privacy controls to meet internal and external regulatory expectations.  
o    Work closely with cross-functional teams to automate data reconciliation and anomaly detection.  
o    Architect and oversee the development of agentic GenAI applications, ensuring high-quality, scalable, and secure solutions Design and manage data pipelines and model integration, ensuring optimal performance and data quality Drive rapid prototyping, experimentation, and iteration of GenAI features and capabilities
o    Ensure compliance with security and regulatory standards relevant to AI in financial services Actively contribute to coding, code reviews, and technical problem-solving alongside your team 
o    Guide and mentor developers, fostering skill growth and best practices in AI/ML and software engineering Report on project progress, technical challenges, and team needs to senior leadership

o    Work across the Trade Working Capital Solutions businesses to forge deep technical partnerships with senior technical leaders and practitioners
o    Partner with Engineering teams across Citi to create an environment that provides an optimal Developer Experience for, from IDE and CI/CD through to IaaS provisioning and Cloud Native Service on-boarding frameworks.
o    Foster a culture of innovation and engineering excellence across the Enterprise: modern engineering practices, adoption of open source and open standards, creating a culture of collaboration and efficiency
o    Develop a team that is seen as an engineering role model

Qualifications:
o    10+ yeas experience and deep expertise as a hands-on technical leader working on complex systems in a large organization, structuring, establishing, and leading multiple product-centric engineering teams
o    8+ years experience driving software architecture, data architecture, AI strategy and delivery transformation through Agile practice and process, with a focus of establishing Continuous Delivery culture and process
o    8+ years experience and expertise in BigData platforms and Data streaming frameworks

o    5+ years experience and strong expertise in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI).  
o    5+ years experience and expertise in Cloud platforms and associated Developer Toolchains, DevOps models, and best practice

o    5+ years of hands-on AI/ML development experience, including at least 2 year in technical leadership or team lead capacity Proven track record of building and deploying AI applications, preferably in finance, Trade and Working Capital Finance or related industries

o    Experience with data governance, data standardization, and metadata management frameworks.  
o    Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation.  
o    Advanced proficiency in Python and AI/ML techniques Experience with prompt engineering, fine-tuning, and deploying LLMs in production environments 
o    Experience with agentic AI orchestration frameworks and multi-agent systems Strong software engineering skills: version control, CI/CD, testing