Artificial Intelligence Associate Director

The Impact you will have in this role:

The Technology Research & Innovation AI Governance Associate Director is a senior individual-contributor and thought-leader role responsible for shaping, executing, and continuously improving DTCC’s enterprise AI governance framework. This role partners closely with the AI Enablement Team (AET), AI Council, Technology Risk, Compliance, Legal, Model Risk, Privacy, Cyber, and product and engineering teams to ensure AI use cases are identified, assessed, governed, monitored, and reported in accordance with DTCC AI Policy, enterprise standards, and regulatory and audit expectations. In addition, the Associate Director will strengthen DTCC’s first line of defense for AI by providing review, challenge, guidance, and oversight across the AI lifecycle, while enabling responsible innovation at scale.

Your Primary Responsibilities:

AI Governance, Controls & Audit Readiness

Support the development, implementation, and ongoing enhancement of DTCC’s AI governance framework, policies, standards, and procedures
Review, challenge, and provide guidance on AI use cases to ensure risks are identified, assessed, mitigated, accepted, or remediated in alignment with DTCC’s risk appetite
Ensure AI governance activities produce clear, consistent, and auditable artifacts to support internal audit, regulatory reviews, and management assurance
Align AI governance practices with DTCC’s broader risk, control, issue management, and compliance frameworks
Monitor emerging AI-related regulatory, industry, and supervisory developments and assess impacts to DTCC governance and controls

AI Use Case Lifecycle Management

Partner with the AI Enablement Team to guide AI use case submissions through appropriate review and governance pathways, including AET Review, AI Registry, and additional Portfolio Management/ARB/SDP processes
Ensure AI use cases are evaluated for consistency, duplication, risk exposure, and alignment with enterprise standards
Support maintenance and quality assurance of enterprise AI inventories, registries, and attestations for production AI solutions

Metrics, Reporting & Executive Communication

Define, review, and enhance AI governance metrics, KPIs, and KRIs to provide transparent, defensible insight into AI adoption, risk posture, and control effectiveness
Prepare materials for leadership, governance forums, and regulatory stakeholders, including dashboards, summaries, and presentations
Support consistent enterprise reporting on AI initiatives, risks, and governance effectiveness
Act as a trusted advisor to product, engineering, data, risk, compliance, and legal partners on responsible AI governance and control expectations
Collaborate with stakeholders across the lines of defense to ensure cohesive execution of AI governance, risk, and audit objectives
Contribute to education sessions, working groups, and forums to reinforce AI governance, control discipline, and audit-ready practices across DTCC

Stakeholder Partnership & Enablement

Act as a trusted advisor to product, engineering, data, risk, compliance, and legal partners on responsible AI governance and control expectations
Collaborate with stakeholders across the lines of defense to ensure cohesive execution of AI governance, risk, and audit objectives
Contribute to education sessions, working groups, and forums to reinforce AI governance, control discipline, and audit-ready practices across DTCC

Qualifications:

Minimum 10 years of relevant experience in technology, risk management, governance, or related disciplines, ideally within financial services.
Bachelor’s degree (preferred) or equivalent experience

Talents Needed for Success:

Strong understanding of AI concepts, model lifecycles, and associated risk domains (e.g., model risk, data risk, privacy, cyber, operational risk)
Proven ability to review, challenge, and influence complex initiatives while balancing innovation with risk and control requirements
Experience working across enterprise governance processes, including issue management, policy development, and executive reporting
Excellent communication and stakeholder management skills, with the ability to synthesize complex topics for non-experts, audit, and regulatory audiences
Direct experience supporting or partnering with AI governance, model risk management, data governance, or emerging technology oversight functions
Familiarity with enterprise portfolio governance, metrics, and board-level reporting
Experience operating in fast-paced, lean teams with high visibility and accountability