SVP, AI Governance
Synchrony Financial
- Location
- Stamford Hub
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 17, 2026
About this role
Role
Summary/Purpose: Help Synchrony scale AI responsibly by leading the enterprise AI Governance function and driving the operating discipline, controls, oversight routines, and execution capabilities required to manage AI risk across the organization. As the SVP of AI Governance, you will report to the Chief AI Officer and lead the design, implementation, and ongoing management of Synchrony’s AI governance activities and ongoing management of Synchrony’s AI first-line of defense risk management and governance activities. You will serve as a key first-line leader accountable for translating AI strategy, policy, regulatory expectations, and risk framework requirements into practical governance processes, durable controls, measurable standards, and repeatable execution routines. This role will work in close partnership with second-line and third-line stakeholders to strengthen Synchrony’s AI risk management framework, support independent challenge and assurance, prepare for regulatory and oversight activities, and ensure the organization can demonstrate disciplined governance across the AI lifecycle. You will also partner closely with engineering, program management, legal, compliance, risk, information security, model risk management, supplier management, business owners, and technology leaders to ensure key AI governance capabilities are delivered, adopted, documented, monitored, and continuously improved. You are a strategic governance leader who can operate at the intersection of AI, technology delivery, risk management, controls, regulatory readiness, and enterprise execution. You bring sound judgment, strong executive presence, structured problem solving, stakeholder influence, and the ability to convert complex and evolving AI risk expectations into clear processes, controls, accountabilities, and outcomes.
Essential Responsibilities
Lead Synchrony’s enterprise AI Governance function within the AI Office, including the operating model, governance routines, standards, controls, reporting, and oversight activities needed to scale AI responsibly. Help drive the design, implementation, and continuous improvement of Synchrony’s AI governance framework in alignment with enterprise risk management expectations, AI policy and standards, regulatory requirements, and industry practices. Partner closely with second-line risk, compliance, legal, technology risk, model risk management, supplier management, privacy, information security, and other control partners to strengthen AI risk management processes and ensure clear ownership across the lines of defense. Partner with third-line Internal Audit and other assurance stakeholders to prepare for ongoing monitoring, reviews, audits, evidence requests, issue management, and validation of AI governance processes and controls. Define and execute the strategy for key AI governance topics, including AI intake, use case registration, risk tiering, inventory management, approval workflows, lifecycle gates, control validation, monitoring, recertification, and exception management. Lead the development of new AI controls and control enhancements, ensuring requirements are practical, risk-based, measurable, auditable, and embedded into delivery processes wherever possible. Translate AI policy, standards, and regulatory expectations into actionable procedures, job aids, playbooks, control requirements, decision frameworks, and governance artifacts for use by technology teams, business owners, and control partners. Maintain a disciplined enterprise view of AI use cases, tools, agents, models, patterns, approvals, risk ratings, ownership, lifecycle status, control evidence, and governance outcomes. Prepare for regulatory activities, executive oversight, audits, and risk reviews by developing high-quality materials, evidence packages, issue responses, remediation plans, and executive-ready updates. Responsible for leading direct 1LoD risk management and governance interaction with