
Director of AISDLC
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Oversee the management and control of AI-assisted software delivery throughout the organization.
• Establish the AI-assisted software development life cycle, detailing stages, handoffs, human-in-the-loop checkpoints, and approval gates.
• Manage standardized, governed configurations of AI development tools and environments.
• Set policies for acceptable AI usage, data management, and auditability.
• Monitor program metrics and communicate results and the value delivered to business units and executive leadership.
• Collaborate with AI technical leadership, Security, Risk and Compliance teams, business unit leaders, and product owners.
• Define and take ownership of the operating model for the AI-assisted SDLC from intake through to release.
• Establish the operational cadence for AI delivery, which includes stand-ups, cross-team synchronization, governance reviews, and leadership updates.
• Continuously enhance the SDLC based on team input, evaluation data, and delivery outcomes.
• Define, version, and govern standard AI development configurations.
• Manage exception requests while balancing flexibility with consistency and control.
• Collaborate with platform engineering on configurations, rollouts, and updates.
• Maintain a standardized onboarding process for new AI engineering teams.
• Ensure SDLC controls align with regulatory and examiner expectations.
• Keep audit evidence and prepare for examination readiness.
• Review exceptions, incidents, and control gaps, and lead remediation efforts.
• Define and monitor metrics such as velocity, quality, cost efficiency, token expenditure, and business value.
• Work with business unit leaders and product owners to assess team value.
• Report on results, trends, and value to business units and executive leadership.
• Lead, coach, and develop direct reports.
• Conduct retrospectives and foster continuous improvement across teams.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent professional experience.
• Over 10 years of experience in software engineering, delivery, or technology operations.
• A minimum of 5 years in a leadership position.
• Proven experience in defining software delivery processes, governance models, or operating models at scale.
• Practical understanding of AI-assisted and agentic development, including tools like Claude/Copilot, along with associated risks.
• Significant experience collaborating with Security, Risk, and Compliance in a regulated environment.
• Experience in banking or financial services is highly regarded.
• Familiarity with delivery metrics, cost management, and executive reporting.
• Strong leadership, influencing, and communication abilities.
• Capability to build trust among engineering, product, and business stakeholders.
• Candidates must be authorized to work in the United States without requiring visa sponsorship now or in the future.
• Eligibility for incentive awards based on both individual and organizational performance.
• Comprehensive range of benefits offered.
• Equal Opportunity Employer.
• Recruitment process accommodations available.
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