Head of Data Platform Engineering

## Citi is a world-leading global bank with approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. ## The Institutional Data Platform (IDP) team within the Enterprise Data Solutions function has built a next-generation Data Fabric to solve the evolving Business, Analytical, and Regulatory needs of Citi's Markets business. This Head of Data Platform Engineering role is a senior Director-level position based in Jersey City, NJ, responsible for the delivery and management of a broad technology portfolio within the Institutional Data Platform (IDP) function. The role involves leading a global team to drive large-scale data platform initiatives, delivering cross-market analytics solutions for Citi's Markets business. It requires close collaboration with Front Office, Risk Managers, Business Stakeholders, and senior technology leadership to manage program scope, ensure delivery excellence, and drive innovation aligned with firm standards and best practices. Key Responsibilities: * Portfolio & Program Management: Lead the delivery of a technology portfolio, data platform initiatives, and regulatory reporting programs. Manage program scope, risks, and stakeholder relationships. * Architecture & Engineering Excellence: Drive the design and development of large-scale, real-time data platforms. Champion best practices in data architecture, data modeling, and cloud-native engineering. * AI, ML & Innovation: Champion the adoption of GenAI, Machine Learning, and advanced analytics. Partner with data science teams to embed responsible AI practices. * Governance & Risk Management: Ensure changes are managed with appropriate controls, documentation, and approvals. Drive compliance with applicable laws, rules, and regulations. * Leadership & Talent Development: Manage and develop multiple teams of technology professionals. Maintain a strong focus on hiring and retaining top, diverse talent. Core Qualifications & Experience: * Background: 15+ years of experience in large Financial Services Technology organizations, with a degree in Computer Science, Engineering, or a related technical discipline. * Technical Expertise: * Data Engineering: Deep expertise in data engineering, AI/ML, GenAI, MPP platforms, and regulatory reporting. * Big Data & Databases: Hands-on experience with ecosystems like Impala, Hive, Spark, and databases such as Redshift, Snowflake, and Databricks. * Programming: Proficiency in Python (and its data science ecosystem) and Java/Scala. * AI/ML: Practical experience with Machine Learning techniques and Generative AI technologies like LangChain and Transformer Models. * Infrastructure: Experience with distributed computing (Apache Spark/Flink), in-memory databases, and public cloud platforms (AWS, GCP, Azure). * Leadership: Demonstrated experience in building and leading high-performance, globally distributed engineering teams and strong stakeholder management skills. What We Offer: * A senior leadership role with significant scope and impact. * An opportunity to work at the forefront of data engineering, AI/ML, and GenAI innovation. * A collaborative, inclusive, and diverse work environment with a competitive compensation package. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. \------------------------------------------------------ ## Job Family Group:...