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Citi Logo Citi · IT - Software Development

Data & AI Transformation Lead Senior Vice President

India, Pune · Job Posted June 10, 2026
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Job Description

We are seeking an exceptional Senior Vice President to serve as the senior technology leader for this transformation in Pune. This is a rare opportunity to be a true hands-on technical leader and change agent — someone who leads by example, writes code alongside the team, and drives a cultural shift in how we build and deliver software. You will be deeply embedded in the codebase, re-engineering our legacy platform and building out new Java microservices, while simultaneously setting the technical direction for the broader engineering organization. Critically, you will bring deep experience with modern AI-assisted development practices — including prompt engineering and the use of AI developer tools — and will champion their adoption across the team to accelerate delivery and raise engineering standards.

Job Responsibility

  • Be an active, hands-on contributor to the codebase — designing, building, and reviewing new Java microservices that replace legacy components
  • Lead the re-engineering of the existing Oasys codebase, breaking down monolithic structures and migrating business logic into a modern, event-driven microservices architecture
  • Establish and enforce application methodologies and standards for program analysis, design, coding, testing, and implementation across the engineering organization
  • Analyze complex business processes, system workflows, and industry standards to define solutions to high-level problems, particularly in the context of post-trade processing and financial accounting
  • Serve as the organization's champion and change agent for AI-assisted software development, driving the adoption of tools such as GitHub Copilot, Claude, OpenAI Codex, and Devin across the engineering team
  • Bring deep, practical expertise in prompt engineering and apply it to accelerate development workflows, improve code generation quality, and automate repetitive engineering tasks
  • Lead by example — demonstrating how AI tooling can be integrated into day-to-day development practices to meaningfully improve productivity and code quality
  • Lead the design and delivery of the new Oasys platform in parallel with the Sybase IQ exit, overseeing the build-out of high-throughput data pipelines, distributed data stores, and scalable data processing frameworks
  • Drive the integration of new systems and functions to meet strategic goals, deploy new capabilities, and continuously enhance processes
  • Utilize advanced knowledge of the Oasys system flows and a comprehensive understanding of multiple technology domains to achieve transformation milestones on time and at scale
  • Build, lead, and inspire a high-performing, multi-disciplinary engineering organization in Pune
  • Allocate work effectively and act as an advisor and coach to developers, architects, analysts, and new team members, fostering a culture of engineering excellence and continuous learning
  • Develop the next generation of technical leaders within the team
  • Influence and negotiate with senior global technology and business leaders, communicating the transformation vision, progress, and risks with clarity and confidence
  • Consult with end users and business stakeholders to identify system function specifications and incorporate them into the overall system design
  • Manage large program budgets and cross-functional, multi-project delivery
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets
  • Drive compliance with applicable laws, rules, and regulations, adhering to Policy and applying sound ethical judgment regarding personal behavior, conduct, and business practices
  • Escalate, manage, and report control issues with full transparency

Requirements

  • 15+ years of progressive experience in technology, with a significant portion in senior technical leadership roles — and a continued, active hands-on involvement in software development
  • Java Expertise: Expert-level background in Java, including designing and building resilient, high-throughput distributed systems and microservices architectures. Must be comfortable writing and reviewing production code
  • Big Data Mastery: Deep, hands-on expertise in modern Big Data platforms using technologies such as Apache Spark, Kafka, Presto/Trino, and distributed data lakes or lakehouses
  • Transformation Track Record: Demonstrated success leading complex, multi-year legacy modernization and re-engineering programs from concept to production in a global enterprise environment
  • Change Leadership: A proven change agent with the ability to shift engineering culture, introduce modern practices, and bring teams along on a transformation journey
  • Leadership: Exceptional organizational leadership skills with experience managing and developing multiple teams of senior engineers, architects, and technical leads
  • Prompt Engineering & AI Tooling: Deep, practical experience with prompt engineering and hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude, OpenAI Codex, Devin) to drive engineering productivity and code quality at scale
  • Financial Domain: Experience in financial services, particularly in trading systems, post-trade processing, sub-ledger accounting, or risk platforms
  • Cloud Platforms: Experience with public or private cloud platforms (AWS, GCP, Azure) and their associated data and compute services
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
  • Master's degree in Computer Science, Engineering, or a related quantitative discipline is preferred

Nice to have

  • Prompt Engineering & AI Tooling: Deep, practical experience with prompt engineering and hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude, OpenAI Codex, Devin) to drive engineering productivity and code quality at scale
  • Financial Domain: Experience in financial services, particularly in trading systems, post-trade processing, sub-ledger accounting, or risk platforms
  • Cloud Platforms: Experience with public or private cloud platforms (AWS, GCP, Azure) and their associated data and compute services
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