Director of AISDLC

Accountabilities:: Define and lead the AI-assisted SDLC: Establish and own the operating model governing AI-assisted software delivery, from initial intake through final release. Define development stages, team handoffs, human-in-the-loop checkpoints, and approval gates, ensuring alignment between engineering standards and governance requirements. Establish operational standards and processes: Create a consistent operating cadence across AI engineering teams, including team meetings, cross-functional coordination, governance reviews, and executive reporting. Continuously improve delivery processes based on team feedback, evaluation results, and performance outcomes. Govern AI development tools and environments: Own the definition, versioning, and maintenance of standardized configurations for AI development tools and environments. Manage exception requests, balance flexibility with consistency, and collaborate with platform engineering teams to coordinate configuration updates, implementation, and onboarding. Oversee AI policy, risk, and compliance: Establish policies covering acceptable AI usage, data handling, classification, and auditability. Work closely with Security, Risk, and Compliance teams to ensure AI-assisted development practices meet regulatory requirements and industry expectations. Maintain governance and audit readiness: Ensure appropriate audit documentation and evidence are maintained, support regulatory examinations, review incidents and control gaps, and lead remediation initiatives to strengthen the governance framework. Measure performance and business impact: Define and monitor key program metrics, including delivery velocity, software quality, cost efficiency, AI token consumption, and business value. Collaborate with business leaders and product owners to establish meaningful performance indicators and communicate results to executive stakeholders. Lead and develop teams: Manage, mentor, and develop direct reports while fostering a culture of accountability, collaboration, and continuous improvement. Lead retrospectives and drive initiatives that enhance delivery performance across the organization. Requirements: Education and professional experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience. At least 10 years of experience in software engineering, technology delivery, or technology operations, including a minimum of 5 years in a leadership position. Software delivery and governance expertise: Proven experience designing and implementing software delivery processes, governance frameworks, or operating models at enterprise scale. AI development knowledge: Working understanding of AI-assisted and agentic software development practices and tools, such as Claude and GitHub Copilot, including their operational, security, and governance risks. Regulatory and compliance experience: Strong experience collaborating with Security, Risk, and Compliance functions in regulated environments. Previous experience in banking or financial services is highly valued. Performance management and reporting: Demonstrated ability to define and track delivery metrics, manage technology-related costs, evaluate operational performance, and communicate measurable business outcomes to senior leadership. Leadership and stakeholder management: Excellent leadership, communication, and influencing skills, with the ability to build strong relationships and establish trust across engineering, product, security, and business teams. Strategic and analytical mindset: Strong organizational, problem-solving, and decision-making skills, combined with the ability to balance innovation, operational efficiency, flexibility, and governance. Benefits: Competitive salary based on skills, qualifications, professional experience, and geographic location. Eligibility for incentive awards based on individual and overall business performance. Comprehensive employee benefits package. Remote working arrangement within the United States. Full-time employment opportunity in a technology-driven and innovation-focused environment. Opportunity to shape enterprise-wide AI-assisted software development practices and governance standards. Leadership opportunity with the ability to build, mentor, and develop a high-performing team. Professional growth through collaboration with senior leaders and cross-functional stakeholders. Meaningful impact on the evolution of AI-enabled technology delivery within the financial services sector. Additional Information: Applicants must be legally authorized to work in the United States without requiring visa sponsorship now or in the future. Equal employment opportunities are provided to all qualified applicants, regardless of legally protected characteristics. Reasonable accommodations are available throughout the recruitment process.