Head of Development - AI Delivery

Truist Bank•Charlotte, NC

3d•Onsite

About The Position

The Head of Development is the executive engineering leader responsible for all development functions within our centralized AI capability delivery organization — spanning application engineering, data engineering, full-stack delivery, platform integration, and the engineering quality bar that governs how production AI-enabled capabilities are built, tested, and released. This role owns the engineering organization, delivery culture, technical standards, hiring and team development, cross-functional delivery execution, and the operational discipline required to ship AI capabilities at enterprise scale and startup speed. The Head of Development is a builder-leader: deeply technical, operationally rigorous, and capable of setting direction while staying close enough to the work to drive real engineering excellence. Daily work includes leading engineering teams, setting delivery standards and architecture direction, managing engineering roadmap execution, partnering with product and security leadership, driving hiring and capability development, and ensuring the Forge development function delivers production-ready AI capabilities that meet the highest standards of quality, security, and operational reliability.

Requirements

Bachelor’s degree in Information Technology, Information Security, Engineering or a related discipline.
20+ years of experience in financial services, government, large consulting firms, or equivalent, with a focus on information security risk management.
15+ years prior management experience with a track record of team development and process improvements.
15+ years of experience in leading issue management and resolution of financial regulatory and internal risk partner findings.
Extensive knowledge of cybersecurity capabilities, including expertise in one or more of the following areas: Encryption, Data Security, Application Security, IAM, Network Security, Cloud Security, etc.
Proven track record in leading delivery of security programs, including planning, execution, and reporting.
Demonstrated ability to communicate complex technical concepts in business terms to C-Level executives.
Strong interpersonal skills and the ability to interface with all levels of personnel (executive to entry level).
Experience developing and operating management routines for large organizations, including process and control effectiveness and metrics (KRI/KPI).
Deep knowledge of cybersecurity frameworks (e.g., NIST, ISO 27001) and financial industry regulations (e.g., PCI DSS, SOX, GLBA).

Nice To Haves

12+ years of progressive software engineering experience, including 5+ years in engineering management or technical leadership roles with direct people management responsibility.
Demonstrated experience leading and scaling engineering organizations in enterprise environments, including hiring, team development, delivery management, and organizational design.
Deep technical background in software engineering, application development, or platform engineering with the ability to set credible technical direction and engage substantively in architecture and quality discussions.
Proven track record of delivering production-ready software at enterprise scale — on time, with quality, and within governance controls.
Experience leading engineering delivery for AI-enabled, data-intensive, or platform-oriented products in complex cross-functional organizations.
Strong ability to manage senior technical talent, build high-performing teams, and drive engineering culture that balances speed, quality, and operational rigor.
Excellent written and verbal communication skills for executive-facing delivery reporting, stakeholder management, and organizational leadership.
Experience operating within regulated enterprise environments where security, compliance, audit, and governance controls shape delivery practice.
Experience leading engineering organizations building AI-enabled applications, agentic systems, or enterprise AI platforms.
Experience with Microsoft Azure, Azure AI services, Copilot ecosystem, Microsoft Fabric, or comparable enterprise AI and cloud delivery platforms.
Experience in financial services, cybersecurity, or other highly regulated industries with strong control, audit, and release management expectations.
Experience building engineering organizations from startup-phase into scaled enterprise delivery — including process design, tooling, and culture development.
Experience managing engineering vendor relationships, contract delivery teams, and technology partnerships.
Familiarity with responsible AI principles, enterprise AI governance, and model risk management requirements relevant to regulated industries.

Responsibilities

Own development function — providing executive leadership, organizational design, delivery standards, and operational discipline across all engineering teams and workstreams.
Set the technical direction, architecture standards, engineering quality bar, and release readiness expectations for application, data, full-stack, and platform engineering at the Forge.
Drive delivery execution across engineering — managing sprint cadences, resolving delivery blockers, enforcing accountability, and ensuring the organization ships production-ready AI capabilities on committed timelines.
Build and develop a high-performing engineering organization through hiring, onboarding, coaching, performance management, career development, and team culture investment.
Partner with the Head of Technology, Head of Agentic Design, Head of Product, and AI Security Lead to ensure engineering delivery is aligned to strategic priorities, security standards, and business outcomes.
Own the engineering operating model — including team structure, delivery ceremonies, technical governance, code review standards, CI/CD practices, observability requirements, and release controls.
Drive cross-functional delivery alignment across engineering, product, security, QA, data, platform, and enablement teams to ensure AI capabilities move from design to production with speed and reliability.
Represent engineering in senior leadership forums, governance reviews, architecture discussions, and stakeholder communications — translating technical delivery reality into clear executive-facing updates.
Manage engineering budget, tooling, vendor relationships, and resource allocation in alignment with Forge delivery priorities and enterprise financial governance.
Continuously improve engineering processes, delivery velocity, code quality, observability, and operational maturity as the Forge AI portfolio scales.
Foster a culture of engineering excellence, psychological safety, continuous learning, and accountability across the development organization.