Release Management Associate Director

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Associate Director, Release Execution Management & AI Transformation is responsible for leading enterprise release management operations, governance, compliance, and technology transformation initiatives. This role oversees teams supporting release execution, platform modernization, cloud migration programs, audit activities, and continuous process improvement efforts.

The successful candidate will serve as a strategic leader responsible for modernizing release and change management through the adoption of Artificial Intelligence (AI), automation, predictive analytics, and intelligent workflow orchestration. This individual will partner across Engineering, Infrastructure, Security, Risk, and Operations teams to drive operational excellence, reduce delivery risk, improve release velocity, and advance AI-enabled change and release management capabilities across the enterprise.

• Lead enterprise Release Execution operations, ensuring the successful planning, coordination, and deployment of technology releases across distributed, cloud, and mainframe environments.
• Drive modernization of release management practices through AI-driven release intelligence, predictive risk assessment, automated validation, and intelligent release scheduling.
• Partner with application, infrastructure, cloud, security, and business teams to ensure high-quality, low-risk releases that support organizational objectives.
• Define release governance strategies that balance speed, stability, risk management, and compliance.
• Establish data-driven KPIs and operational metrics to continuously improve release quality, deployment success rates, and developer productivity.
• Lead the organization's AI-enabled Release Management strategy and roadmap.
• Identify opportunities to leverage Generative AI, machine learning, predictive analytics, and intelligent automation to optimize release and change processes.
• Drive implementation of AI-powered capabilities including:
  • Release risk prediction
  • Automated impact analysis
  • Change recommendation engines
  • Intelligent approval workflows
  • Automated audit evidence collection
  • Root cause analysis and trend identification
• Partner with enterprise AI, Dev Ops, and Platform Engineering teams to integrate AI capabilities into release workflows and governance processes.
• Evaluate emerging AI technologies and industry best practices to improve operational efficiency and decision-making.
• Measure and track business outcomes from AI initiatives, including reduction in manual effort, improved compliance, faster release delivery, and reduced operational risk.
• Lead audit readiness initiatives, ensuring accurate and timely collection of evidence for internal audits, external audits, and Management Control Testing (MCT).
• Leverage automation and AI-assisted controls to improve audit efficiency and governance effectiveness.
• Ensure release and change management processes comply with regulatory, security, and enterprise governance requirements.
• Partner with Risk, Compliance, and Audit organizations to remediate findings and strengthen control frameworks.
• Develop…