SVP, AI Governance

Synchrony

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Stamford, CTNew York, NY
Salary
$200,000–$330,000 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $265k
$129k most similar roles pay here $352k

This role pays more than 83% of similar roles. Most pay $161,250–$246,150 — the shaded band above. At the midpoint, this role pays about $265k versus about $204k for comparable roles.

Based on 239 similar postings.

Employer

About Synchrony

Synchrony is a premier consumer financial services company and one of the nation’s largest providers of private-label and co-branded credit cards, alongside promotional financing and FDIC-insured savings products.

Synchrony currently has 4 open roles on FindRole.

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At a glance

TL;DR · SVP, AI Governance

As the SVP, AI Governance, you will lead the enterprise AI Governance function within the AI Office to ensure the organization scales artificial intelligence responsibly. Reporting to the Chief AI Officer, you will design and manage governance frameworks, operating models, and risk management routines across the entire AI lifecycle. You will translate complex policy, regulatory requirements, and risk standards into practical controls, playbooks, and measurable metrics for technical and business teams. Your daily work involves collaborating with engineering, legal, compliance, and information security to oversee use case registration, risk tiering, and inventory management. You will manage first-line defense risks while coordinating with second and third-line partners to ensure audit readiness. Key competencies include expertise in generative AI, machine learning, and data governance, alongside proficiency in GRC platforms, Jira, ServiceNow, and Power BI within a highly regulated environment.

What you'll do

  • Lead the enterprise AI governance function including operating models, risk management routines, and oversight activities.
  • Translate complex AI policies and regulatory requirements into practical controls, playbooks, and actionable procedures for technical teams.
  • Manage the full AI lifecycle including use case registration, risk tiering, inventory management, and approval workflows.
  • Partner with internal audit and second-line risk teams to ensure compliance and prepare for regulatory examinations.
  • Develop and implement technical governance capabilities such as registries, gateways, policy enforcement, and monitoring tools.
  • Maintain a comprehensive inventory of AI use cases, models, and assets while tracking their respective risk ratings and status.
  • Report on portfolio status, control maturity, and regulatory readiness to the Chief AI Officer and senior stakeholders.
  • Drive continuous improvement by identifying gaps in governance processes and reducing friction for internal technology teams.

What we're looking for

  • Bachelor's degree in a related discipline or 12 years of relevant experience.
  • 10+ years of experience in risk management, technology governance, AI/data governance, compliance, audit, or strategic program leadership.
  • Proven experience leading governance, risk, control, compliance, or oversight programs in a complex enterprise environment.
  • Strong understanding of AI, generative AI, agentic AI, machine learning, and responsible AI concepts.
  • Experience designing or operating governance frameworks, control frameworks, lifecycle processes, and risk tiering.
  • Experience partnering with second-line risk/compliance functions and third-line audit teams in a regulated environment.
  • Ability to translate policy, regulatory expectations, and audit findings into practical operating models and execution plans.
  • Experience in financial services or other highly regulated industries (preferred).

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