SVP, Head of AI Solutions Technology

Synchrony

. Lead AI solutions technology across strategic business-unit and enterprise use cases .

Posted 11/3/2026full-timeUnited StatesLead💰 $200,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI solutions technology, managing technical teams, and delivering scalable AI architectures. Proficient in Agile methodologies, technical decision-making, and fostering AI talent development within enterprise environments.

Highest-signal resume keywords

AI Solutions Technology LeadershipAgile Delivery ManagementTechnical Team ManagementAI Architecture DesignAI Platform Development

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Hard Skills

Software EngineeringData EngineeringMachine LearningModel OrchestrationAPIsCloud-Native DeliveryData IntegrationEvaluation FrameworksRAGAgentic Workflows

Soft Skills

Executive CommunicationCoachingPerformance ManagementCollaborationProblem-Solving

Tools & Technologies

AI PlatformsMLOpsLLMOpsVector SearchWorkflow Automation

Industry Keywords

Financial ServicesComplianceCybersecurityData PrivacyOperational Risk

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

Lead AI solutions technology across strategic business-unit and enterprise use cases
Manage technical leads and delivery teams across multiple concurrent programs
Design and deliver secure, scalable AI solutions, including solution architecture, model integration, data flows, APIs, workflow automation, agentic patterns, evaluation strategies, and observability
Translate prioritized AI opportunities into executable roadmaps, delivery plans, and technical milestones
Establish and enforce AgenticAI development standards across the enterprise
Partner with architecture, cybersecurity, data, infrastructure, platform, risk, legal, compliance, privacy, and model governance teams
Lead design reviews and technical decision forums for major AI initiatives
Build reusable AI assets, services, shared components, reference architectures, implementation playbooks, and delivery patterns
Develop and grow AI technology talent through hiring, coaching, succession planning, performance management, and mentorship
Drive disciplined execution across Agile delivery teams, including ownership, progress tracking, risk management, dependency coordination, and blocker escalation
Partner with product and business leaders to clarify requirements, assess feasibility, define success metrics, and ensure adoption and measurable value
Evaluate emerging AI technologies, frameworks, platforms, and vendors and recommend adoption paths
Perform other duties and/or special projects as assigned
Report to the Chief AI Officer

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related technical discipline and 12+ years of software engineering, data engineering, machine learning or AI experience
Proven track record leading tech organizations or multi-team technical programs delivering complex, enterprise-scale technology solutions
Hands-on experience with RAG, agentic workflows, model orchestration, evaluation frameworks, LLMOps/MLOps, vector search, and AI platform capabilities
Ability to operate amid ambiguity, rapidly evolving AI technology, and competing enterprise priorities
Deep software engineering experience across architecture, APIs, cloud-native delivery, and data integration
Ability to lead complex technical design work, make architecture tradeoffs, partner with enterprise architecture teams, and communicate technical decisions clearly
Experience managing technical leads, AI engineers and/or data scientists, including staffing, prioritization, performance management, coaching, standards, and talent development
Strong executive communication skills
Experience operating in Agile with delivery management, dependency coordination, and cross-functional execution
Experience building internal AI platforms, reusable components, or accelerators
Ability and flexibility to travel for business as required
Must be 18 years or older
High school diploma or equivalent
Willingness to take a drug test, submit to a background investigation, and submit fingerprints
Ability to satisfy Section 19 of the Federal Deposit Insurance Act
Legal authorization to work in the U.S.; employment visa sponsorship is not available
Advanced degree in Computer Science, Machine Learning, AI, Applied Mathematics, or a related technical field (desired)
Understanding of responsible AI, model risk, data privacy, cybersecurity, legal, compliance, auditability, access controls, and operational risk considerations (desired)
Experience leading AI engineering in financial services or another highly regulated domain (desired)
Experience managing technology vendors, cloud providers, AI platforms, consulting partners, or shared engineering resources (desired)

Benefits

Comp & perks

Annual Incentive Plan target of 25% of salary
Annual Equity target of 25% of salary
Option to work from home near one of Synchrony’s Hubs or come into one of its offices
In-person business or team meetings, training and culture events at the nearest Hub
Inclusive culture and Employee Resource Groups (ERGs)
Reasonable accommodations for qualified individuals with disabilities