Principal TRI AI Governance Specialist

Job Description

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.

Pay and Benefits:

• 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).

• Help centrally lead DTCC's AI initiatives by supporting governance, prioritization, and risk transparency across the enterprise.
• Ensure AI use cases align with DTCC AI Policy, procedures, and standards while remaining fit-for-purpose and innovation-friendly.
• Contribute to a strong audit posture by ensuring AI governance processes, artifacts, decisions, and risk outcomes are consistently documented, traceable, and defensible.
• Enable effective critical issue, decision-making, and reporting to senior management, the AI Council, Management Risk Committee (MRC), and the Board.

• Support the development, implementation, and ongoing improvement of DTCC's AI governance framework, policies, standards, and procedures.
• Review, challenge, and provide mentorship 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.

• 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.

• Define, review, and improve AI governance metrics, benchmarks, and KRIs to provide transparent, defensible insight into AI adoption, risk posture, and control efficiency.
• Prepare materials for leadership, governance forums, and regulatory collaborators, including dashboards, summaries, and presentations.
• Support consistent enterprise reporting on AI initiatives, risks, and governance efficiency.

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

• Minimum of 10 years of related experience
• Bachelor's degree preferred and/or equivalent experience

• 10+ years of experience in technology, risk management, governance, or related fields, preferably within financial services.
• Strong understanding of AI concepts, model lifecycles, and associated risk domains (e.g., model risk, data risk, privacy, cyber, operational risk).
• Proven track record to review, challenge, and influence sophisticated 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 leadership skills, with the ability to synthesize sophisticated topics for non experts plus 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.