Head of AI-First Development (Firmwide AI) - Managing Director

Citi is establishing a new, unified firmwide AI organization under a newly created Group Head of Artificial Intelligence - merging the firm's Head of AI and CTO responsibilities into a single executive accountable for AI-led transformation across every business and function. This post-merger structure is intentionally distinct from prior models and will be the engine through which Citi competes in the AI era.

The Head of AI-First Development is the leader who re-architects how Citi builds products. The mandate is to make AI the default across the firm's entire Product Development Lifecycle - from requirements through code, test, and deployment. This is a rare Managing Director level mandate to lead one of the largest engineering productivity transformations in global financial services.

Why This Role

You will redefine what it means to build products. The platform you build and the workflows you establish will shape how all of Citi’s businesses ship products and will be one of the largest, most visible bets the firm makes on the productivity of its own people. Few seats in financial services offer a comparable canvas for an engineering leader.

Key Responsibilities

AI-First PDLC

• Re-architect Citi's end-to-end Product Development Lifecycle (PDLC) so that AI is the default - across requirements gathering, design, code, test, deployment, and operations.

• Define and own the firm's reference workflows, standards, and patterns for AI-first product development; partner with the broader Tech and Product organizations to drive consistent adoption.

• Continuously evolve the PDLC as the underlying AI tooling, models, and developer practices mature.

Agentic Developer-Experience Platform

• Own the agentic product development platform including agentic requirements tools, testing tools, coding tools, AI-assisted code review, automated testing, and deployment agents.

• Define the firm's "build vs. buy vs. partner" strategy for developer AI tooling; manage the relationships with the agentic coding vendors and platform providers that matter most.

• Establish the engineering productivity metrics, telemetry, and feedback loops that Leadership, Governance & Reporting

What Success Looks Like (First 12 Months)

• A defined, adopted AI-first PDLC reference workflow, with named pilot organizations operating end-to-end against it.

• A consolidated, supported end to end agentic development platform live for a meaningful adoption, with credible telemetry on usage and productivity.

• A trusted, transparent engineering productivity scorecard accepted by Tech leadership and the CFO.

• A visible shift in product development culture toward AI-first as the default.

Qualifications

• 15+ years of progressive engineering leadership experience, including senior roles owning developer experience, developer platforms, or engineering productivity at scale - ideally inside an elite engineering culture (top-tier tech firm, hyperscaler, or major bank with a serious engineering bar).

• Seasoned DevEx / developer-platform leader - has personally built and run a developer platform serving thousands (ideally tens of thousands) of engineers, with demonstrable productivity outcomes.

• Deep, current expertise in agentic coding tools and the AI-first SDLC - fluent in the modern landscape (agentic IDEs, code-generation models, AI-assisted review and test, deployment agents) and the operational realities of running them at enterprise scale.

• Influential change agent - proven ability to win over skeptical users and engineers; leads through credibility and outcomes, not mandate.

• Strong product instinct - runs the platform as a true product, with clear users, telemetry, prioritization, and outcome accountability.

• Strong appreciation of Cyber security and Architectural standardization concerns, to work in partnership with the CISO and CTO teams.

• Cross-functional influencer - proven ability to operate in a matrixed environment across platform, controls, HR, and the broader Tech organization without direct authority over all of them.

• Risk & Compliance awareness – understands and fully appreciates risks, controls, and regulatory expectations as they apply to AI-assisted development in global banking.

• Excellent communication - credible with engineers, engineering leaders, business stakeholders, controls partners, and regulators alike.

• Financial Services fluency preferred; comparable experience in another regulated, large-scale engineering environment will be considered.

Education

• Bachelor's degree required, pre