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SVP, AI Governance

Synchrony · Stamford, CT · via email_alert

🗓 Posted: not published by source  ·  Found by agent: 2026-09-20 12:18

93% match
$200,000–$330,000 salary
n/a applicants
consideringstatus

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Score breakdown

ComponentRawWeightContributionEvidence
keywords100.0%30 30.0 socgovernanceregulatorysecond-linerisk managementcomplianceinformation security
seniority100.0%25 25.0 SVP
location100.0%20 20.0 ct-in-rangestamford
salary92.0%15 13.8 $330,000
company40.0%10 4.0

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2026-09-25T14:41:35+00:00 → chat 5272237815 · sent

Synthesis sent: Synchrony is hiring an SVP Head of AI Governance to build and run its enterprise AI Governance function, reporting to the Chief AI Officer. The role owns first-line AI risk management, controls, and lifecycle governance, working closely with second-line risk/compliance, third-line audit, and technology teams, including direct regulator interaction. Based in Stamford, CT, salary $200K-$330K plus 25% bonus and 25% equity targets.

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✅ SVP, AI Governance
🏢 Synchrony · 📍 Stamford, CT

Match: 93%
💰 Salary: $200,000 - $330,000
👥 Applicants: n/a — not published by email_alert

Synchrony is hiring an SVP Head of AI Governance to build and run its enterprise AI Governance function, reporting to the Chief AI Officer. The role owns first-line AI risk management, controls, and lifecycle governance, working closely with second-line risk/compliance, third-line audit, and technology teams, including direct regulator interaction. Based in Stamford, CT, salary $200K-$330K plus 25% bonus and 25% equity targets.

Key requirements
• Bachelor's degree plus 10+ years (or 12+ years without degree) in risk management, tech/AI/data governance, compliance, audit, or controls.
• Proven experience leading governance, risk, or control programs in a complex, regulated enterprise environment.
• Strong technical fluency in AI, generative AI, agentic AI, and responsible AI concepts to govern across technical/non-technical stakeholders.
• Experience partnering with second-line risk/compliance and third-line audit/assurance functions, including regulatory readiness.
• Demonstrated ability to build or scale a governance function and translate policy/regulatory expectations into practical controls and processes.

➡️ Apply
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2026-09-20T16:18:58+00:00 → chat 5272237815 · sent

Synthesis sent: email lead 86%

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📧 LinkedIn alert lead — initial match 86%
SVP, AI Governance
🏢 Synchrony · 📍 Stamford, CT

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Keywords injected / gaps: second-line risk oversightregulatory engagementpolicy governancecontrol effectivenessgovernance reportingAI-driven threat detection

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1Grammar APPROVED No grammar errors detected in customized resume.
2Spelling APPROVED No spelling errors found.
3Formatting consistency APPROVED 1 font(s), 5 size(s), consistent bullets
4Logical layout APPROVED Section order mirrors base; no orphaned sections.
5LLM-artifact detection APPROVED no em dashes or LLM filler phrases detected
6Job-description alignment APPROVED AI governance, NIST AI RMF, policy terms integrated naturally, not stuffed.
7Accomplishments emphasis APPROVED Key metrics (150+, 300+, $1.7T AUM) retained, though some base metrics omitted.
8No fabrication APPROVED No new employers, titles, dates, or metrics introduced beyond base.
9Consistency with base CV APPROVED Titles, dates, employers match base; no contradictions found.
10Human readability APPROVED Reads as professionally written, slightly dense but plausible.
Text preview
Lucian Lipinsky de Orlov
lucian@lipinskyllc.com  ▪  914-656-0324  ▪  linkedin.com/in/lipinsky/
	
	
Senior cyber and risk governance executive | financial services
Second-line risk oversight and regulatory engagement
Identity, Data and Privacy Risk | Policy Governance and Executive Education
Senior cybersecurity and risk executive with 20+ years of experience across global financial institutions, asset managers, and advisory roles, including second-line risk oversight of large operational security organizations at Citigroup (300+) and American Express (150+), and CISO-level accountability at Franklin Templeton ($1.7T AUM, 45 countries). Deep background in identity, data, and privacy risk, cybersecurity policy governance, AI governance, and regulatory engagement, with a consistent record of translating complex technical and emerging risk topics, including AI-driven threat research and AI risk frameworks such as the NIST AI RMF, into clear guidance for executives, regulators, and non-technical stakeholders. Experienced in reviewing and modernizing risk frameworks, controls, and oversight routines within large regulated financial institutions.
			
	
Professional Experience Highlights
American Express - New York, NY
Senior Director, Risk & Information Security	2025 - Present
Cybersecurity Technology & Resiliency Risk Oversight
Senior Director within American Express' global cyber risk oversight organization, serving as second-line risk owner for Data Loss Prevention (DLP) and directing corrective action across a first-line organization of 150+, with additional focus on data security, privacy, and identity & access management (IAM).
Lead global cyber risk governance for data protection, privacy, and identity security across enterprise platforms, cloud environments, and third-party ecosystems, translating policy and regulatory expectations into practical controls.
Lead Amex's formal AAA (AI / Analytics / Automation) program, driving enterprise adoption of agentic AI capabilities and authoring the company's policies governing agentic AI usage.
Contribute to AI governance for emerging AI and machine-learning systems, applying the NIST AI RMF (AI 600-1) to model and data-risk controls.
Advise senior executives on cyber risk exposure, control effectiveness, and risk-reduction actions, providing clear governance reporting on program status and control maturity.
Translate complex cybersecurity, privacy, and IAM risks into clear, practical guidance to support executive decision-making and risk awareness among non-technical stakeholders.
Partner with technology, legal, privacy, and business leadership to align cyber risk posture with regulatory expectations and business objectives.
Lead, coach, and set standards for a global team of senior cyber risk professionals.
Citigroup - New York, NY
Senior Vice President, Cyber Operational Risk Officer	2023 - 2025
Senior second-line risk leader within Citi's Second Line of Defense, directing first-line teams of 300+ across Citi's Fusion Center and providing independent challenge and oversight of first-line controls across vulnerability management, incident response, threat intelligence, security operations, and policy governance.
Advised senior leadership on cyber risk exposure, residual risk, and prioritization across global financial services operations.
Translated technical findings into executive decision briefs for non-technical leadership.
Served as direct liaison with global regulators on cybersecurity posture, resilience, and remediation strategy, preparing executive-ready materials for regulatory review.
Oversaw global adversarial emulation exercises with focus on preparedness, judgment, and executive response readiness.
Reviewed and modernized cybersecurity policies, standards, and guidelines, translating regulatory expectations into practical, auditable control requirements.
Provided independent challenge on AI risk governance for AI-enabled systems.
Franklin Templeton Investments - New York, NY
Global Director of Security and Risk (CISO)	2019 - 2023
Advised UHNW individuals and family offices within Franklin Templeton's Fiduciary Trust subsidiary on personal and family office cybersecurity risks, including digital assets, privacy exposure, identity compromise, and secure handling of sensitive financial information.
Executive accountable for global cybersecurity and risk management across 45 countries supporting $1.7T AUM.
Advised executive leadership on cyber risk tradeoffs, investment decisions, and incident preparedness.
Led incident response planning, executive tabletop exercises, and crisis simulations.
Architectural advisor to the world's first SEC-approved tokenized government money fund, advising on blockchain, cryptography, and operational risk.
QuSecure - San Mateo, CA
Board Advisor (Quantum Security)	2020 - 2023
Provided technical guidance on post-quantum cryptography architecture and applicability in regulated financial services environments.
Translated complex quantum and cryptographic concepts into clear, credible narratives for executive leadership, potential investors, and media.
Citihub - New York, NY
Partner, CISO-for-Hire	2008 - 2015
Served as trusted cybersecurity advisor to C-suite executives across financial services and other industries.
Delivered executive briefings, tabletop exercises, and strategic cyber guidance aligned to business risk.
Deloitte Consulting - New York, NY
Senior Manager, Security SME	2003 - 2008
Advised capital markets, wealth management, and retail banking clients on technology and security risk.
Led large-scale regulatory and security initiatives and delivered C-level presentations.


	
Thought Leadership & Education
Fordham University - Three Minute Thesis (3MT) Competition
First Place Winner (2018)
Recognized for delivering advanced cybersecurity research on AI-driven threat detection to a non-technical audience in under three minutes, demonstrating the ability to translate complex AI risk topics into clear executive communication.
Fordham University - Lincoln Center, New York, NY
Adjunct Professor, Center for Cybersecurity 	2019 - Present
Teach undergraduate and graduate courses in computer security systems, encryption, operating system vulnerabilities, and disaster recovery. Program designated by NSA/DHS as a National Center of Academic Excellence in Cyber Defense Education.


Education
MS in Cybersecurity
Fordham University, Graduate School of Arts and Sciences, New York, NY
NSA and DHS National Center of Academic Excellence in Cyber Defense Education Certified
MS in Advanced Technology, Specialization in Computer Science
Thomas J. Watson School of Engineering, Applied Science, and Technology
Graduate School of State University of New York, Binghamton, NY
BS in Computer Science
State University of New York, Binghamton, NY
Certification & Training
ISACA CRISC - PMI Project Management Professional (PMP) - ITIL Foundation Certified - Certified Disciplined Agilist - Enterprise Lean Six Sigma Green Belt - CISSP (Candidate) - IBM Certified Professional - Project Management - New York State Notary Public 

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Job Description

Job ID
2602600
Category
Technology
Date posted
09/25/2026

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 Head 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 regulators.
Lead governance reporting for the Chief AI Officer and senior stakeholders, clearly articulating portfolio status, risk themes, control maturity, regulatory readiness, open issues, dependencies, decisions needed, and progress against governance priorities.
Work closely with AI engineering, architecture, security, cloud, data, and platform teams to ensure technical governance capabilities such as registries, gateways, policy enforcement, logging, monitoring, evaluation, guardrails, and evidence generation are delivered on track.
Partner with program management to ensure governance initiatives are planned, prioritized, resourced, sequenced, tracked, and executed with clear milestones, dependencies, owners, risks, and escalation paths.
Support the intake and review of AI use cases and patterns, helping teams understand applicable requirements, required approvals, risk implications, control expectations, and paths to responsible delivery.
Ensure AI governance processes differentiate appropriately across internal productivity use, business process transformation, customer-facing capabilities, third-party AI solutions, agentic AI, model-like use cases, and high-risk or regulated activities.
Coordinate with legal, compliance, and regulatory change stakeholders to monitor emerging AI laws, rules, standards, and supervisory expectations, and to translate applicable requirements into governance actions.
Drive continuous improvement of AI governance capabilities by identifying gaps, simplifying processes, improving transparency, reducing friction, strengthening evidence quality, and helping the organization move faster while staying within risk appetite.
Perform other duties and/or special projects as assigned

Qualifications/Requirements:

Bachelor’s degree in a related discipline and 10+ years of experience in risk management, technology governance, AI governance, data governance, compliance, audit, controls, regulatory readiness, technology delivery, or strategic program leadership; in lieu of a degree, 12+ years of relevant experience.
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, automation, data, technology platforms, and responsible AI concepts sufficient to lead governance across technical and non-technical stakeholders.
Experience designing or operating governance frameworks, control frameworks, lifecycle processes, risk tiering processes, approval workflows, inventories, monitoring routines, issue management, or assurance-ready reporting.
Experience partnering with second-line risk and compliance functions and third-line audit or assurance teams in a regulated environment.
Demonstrated ability to translate policy, standards, regulatory expectations, risk frameworks, and audit findings into practical operating models, procedures, controls, evidence routines, and execution plans.
Strong stakeholder management and influencing skills, with the ability to align senior leaders, technology teams, control partners, business owners, and delivery teams around shared governance outcomes.
Excellent written and verbal communication skills, including executive-level storytelling, regulatory-ready documentation, concise risk articulation, and the ability to simplify complex AI governance topics.
Strong execution discipline with experience managing complex initiatives, dependencies, risks, milestones, and cross-functional deliverables.
Data-driven orientation with experience defining governance metrics, control performance indicators, risk reporting, adoption measures, and continuous improvement insights.
Comfort operating in ambiguity and at pace, with strong judgment, prioritization, resilience, and the ability to bring structure to fast-moving AI governance work.
Ability and flexibility to travel for business as required

Desired Characteristics:

Experience in financial services, banking, payments, credit, consumer finance, or another highly regulated industry.
Experience with AI governance, model risk management, technology risk, operational risk, third-party risk management, data governance, information security, privacy, compliance, or internal audit.
Familiarity with AI risk management frameworks, responsible AI principles, regulatory expectations, risk-based controls, model validation concepts, supplier oversight, and audit evidence practices.
Experience with enterprise governance tools, GRC platforms, workflow tools, AI or model inventories, technology control repositories, reporting dashboards, SharePoint, Jira, ServiceNow, Power BI, or similar platforms.
Experience building governance capabilities for generative AI, agentic AI, AI platforms, AI gateways, AI control planes, model registries, agent registries, evaluations, monitoring, logging, or policy enforcement.
Demonstrated ability to establish a new enterprise function, mature an existing governance capability, or drive a transformation agenda across multiple functions and lines of defense.

Grade/Level: 15

The salary range for this position is 200,000.00 - 330,000.00 USD Annual. This position is also eligible for an Annual Incentive Plan target of 25% of salary and an Annual Equity target of 25% of salary.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time

Job Family Group:
Information Technology
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