Citi is looking to solve the problem of defining and executing core architecture and technology strategy for Trade and Working Capital Solution Data and AI initiatives.
Requirements
- 10+ years 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
- 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
- 8+ years experience and expertise in BigData platforms and Data streaming frameworks
- 5+ years experience and strong expertise in Big Data & AI technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera, Gen AI, Prompt Engineering, Agentic AI)
- 5+ years experience and expertise in Cloud platforms and associated Developer Toolchains, DevOps models, and best practice
- Advanced proficiency in Python and AI/ML techniques
- Experience with data governance, data standardization, and metadata management frameworks.
Responsibilities
- 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.
- 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
- Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies.
- Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs).
- Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting.
- Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies.
- Develop and enforce data security and privacy controls to meet internal and external regulatory expectations.
Other
- Bachelor's degree in computer science, computer technology, information systems or equivalent work experience
- Exceptional communicator who loves working with people, confident communicating at all levels from an individual team to the entire enterprise
- Highly credible hands on engineer, confident to deep dive into a product and codebase and offer detailed, constructive analysis and feedback
- Excellent problem-solving, analytical, and communication skills
- Ability to work full-time
