Data Engineering Senior Lead Analyst - Senior Vice President

Citi, a leading global bank with approximately 200 million customer accounts in over 160 countries, provides a broad range of financial products and services to consumers, corporations, governments, and institutions. The bank's Enterprise Operations & Technology division underpins these offerings, delivering secure, reliable, and efficient technology solutions that are foundational to managing global resources, ensuring safety, and providing a first‑class customer experience.

Fostering a culture of diversity and inclusion, Citi is committed to a workforce that represents the clients it serves. The company values respect, promotes individuals based on merit and ensures opportunities for personal development are widely available. Ideal candidates are passionate, innovative problem‑solvers who contribute to a culture of delivering results with pride and are empowered to enable growth and progress together with the firm.

Responsibilities

• Conduct strategic data analysis, identify insights and implications, and make strategic recommendations; develop data displays that clearly communicate complex analysis.
• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
• Deliver analytics initiatives to address business problems, identify required data, assess time and effort, and establish a project plan.
• Consult with business clients to determine system functional specifications. Apply comprehensive understanding of how multiple areas integrate to achieve business objectives.
• Consult with users and clients to solve complex system issues, analyzing business processes, systems and industry standards, and recommending solutions.
• Lead the system change process from requirements through implementation; provide user and operational support of the application to business users.
• Formulate and define systems scope and goals for complex projects through research and fact‑finding combined with an understanding of applicable business systems and industry standards.
• Impact the business directly by ensuring the quality of work provided by self and others; impact own team and closely related work teams.
• Consider the business implications of technology application to the current business environment; identify and communicate risks and impacts.
• Drive communication between business leaders and IT; exhibit sound and comprehensive communication and diplomacy skills to exchange complex information.
• Perform other duties and functions as assigned.
• Appropriately assess risk when business 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.

Requirements

• 10+ years of hands‑on professional software engineering experience, including designing and delivering distributed systems, microservices, and full‑stack applications in complex enterprise environments.
• Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory.
• Experience with cloud services such as "AWS", and distributed systems such as Kubernetes. Experience with "Kafka", "S3", and databases like DynamoDB, MongoDB, or other NoSQL databases in addition to classical RDBMS such as PostgreSQL, Oracle, etc.
• Experience of following TDD and passion for clean code principles.
• Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions.
• Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g., pg_vector); experience designing retrieval‑augmented solutions is highly preferred.
• Solid understanding and experience of using data structures, algorithms, and SQL.
• Able to independently work in fast‑paced and rapidly changing environments.
• Product Management Skills: Business acumen / roadmaps / prioritization. Ability to collaborate with multiple stakeholders across the organization. Connect technical decisions to business outcomes. Understand product P&L, customer acquisition costs, and lifetime value. Create outcome‑oriented roadmaps aligned with business objectives, using sophisticated prioritization frameworks.
• Technical Translation: Able to translate complex technical concepts into clear, concise language for non‑technical audiences, and translate business requirements into technical specifications for the engineering team.
• Understanding the Tech Stack: Deep familiarity with the product’s tech stack to discuss technical debt, refactoring, and feasibility of new features.
• Security & Compliance: Solid understanding of security best practices and relevant compliance standards (like CPRA, GDPR).
• System Design & Architecture: Engage in technical discussions about system architecture, understanding trade‑offs of different approaches (microservices vs. monolith, REST).
• Data‑Driven Decision Making: Expert at performing cohort analysis using SQL to query databases directly. Define the right KPIs and connect them to broader business goals.

Education

• Bachelor’s/University degree or equivalent experience.
• Master’s degree preferred.

This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.

Citi is an equal‑opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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