Director of AISDLC

Role overview Set the operating model and controls for AI-assisted software delivery across an organization. You will define how work moves from intake to release, standardize the AI development tools and environments teams use, and work with technical, business, security, risk, and compliance leaders to support safe, measurable delivery in a regulated setting.

Responsibilities - Define the AI-assisted SDLC, including stages, handoffs, human review points, approval gates, and delivery cadence. - Partner with AI technical leaders to align engineering standards with delivery controls; refine the model using team feedback and evaluation results. - Govern standard AI tool and environment configurations, manage versions and exceptions, and coordinate rollout with platform engineering. - Set policies for acceptable AI use, data handling, classification, and auditability in partnership with Security, Risk, and Compliance. - Maintain audit evidence, support exam readiness, and drive remediation of exceptions, incidents, and control gaps. - Track delivery speed, quality, cost, token use, and business value; report results to leaders and coach direct reports.

Requirements - A relevant technical degree or equivalent experience, with at least ten years in software engineering, delivery, or technology operations and five years in leadership. - Experience defining software delivery processes, governance, or operating models at scale. - Working understanding of AI-assisted and agentic development tools and their risks. - Strong experience partnering with Security, Risk, and Compliance in a regulated environment. - Experience with delivery metrics, cost management, and executive reporting. - Strong leadership, influencing, and communication skills, with the ability to build trust across engineering, product, and business teams.

Nice to have Banking or financial services experience is highly valued.