Data & AI Transformation Lead Senior Vice President

Citi

Citi

Software Engineering, Data Science

Pune, Maharashtra, India

Posted on Jun 5, 2026

About Oasys Financial

Oasys is Citi's core sub-ledger system for the Over-the-Counter (OTC) business, supporting global trading books across all asset classes and processing millions of trades daily. We are at a pivotal moment in the platform's evolution — currently in the process of exiting our legacy Sybase IQ data warehouse, a transition that is directly driving a full-scale transformation of our data and application ecosystem.

This is not an incremental upgrade. We are rebuilding our platform from the ground up, leveraging modern Java microservices and a next-generation Big Data architecture to create a system that is scalable, resilient, and built for the future of global finance.

The Role

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.

Key Responsibilities

Hands-On Engineering & Re-Architecture

  • 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.

AI-Assisted Development & Change Leadership

  • 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.

Transformation Execution

  • 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.

Leadership & People Development

  • 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.

Stakeholder Engagement

  • 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.

Risk & Governance

  • 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.

Qualifications

Required:

  • 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.

Preferred (Highly Desirable):

  • 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.

Education:

  • 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.

Why Join Us?

  • Lead by Example: This is a role for a builder, not just a manager. You will be in the code, setting the standard, and driving change from the front.
  • Be a Change Agent: Shape how an entire engineering organization thinks about modern development practices, AI tooling, and software craftsmanship.
  • Unmatched Scale: Work on a system that processes millions of trades daily, presenting engineering challenges that are rare in their complexity and consequence.
  • Build Something Lasting: Lead the creation of a modern platform that will serve as the foundation of Citi's post-trade operations for years to come.
  • Career at the Top: As a C14 SVP at Citi, you will have access to the highest levels of the organization and unparalleled opportunities for continued career growth.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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