Principal TRI AI Governance Specialist
The Depository Trust & Clearing Corporation (DTCC) · Jersey City, NJ · 4 wk ago
Information TechnologyFull-time
About the role
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.
Responsibilities
- AI Governance, Controls & Audit Readiness Support
- 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.
- 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 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.
- 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 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.
Qualifications
- Minimum of 10 years of related experience
- Bachelor's degree preferred and/or equivalent experience
- Talents Needed For Success:
- 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.
- Highly Preferred:
- 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.
Pay
The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations.
Schedule
We offer 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).