SVP, Head of AI Solutions Technology

Synchrony; United States; On-site; USD 250,000 - 360,000; Full time

Job summary

Synchrony seeks an SVP, Head of AI Solutions Technology to lead the creation and delivery of enterprise AI capabilities. You will oversee multiple programs, design target architectures, and drive responsible AI initiatives across business units with a hands-on engineering approach.

You will mentor teams of AI engineers and data scientists, partner with product, security, risk, and legal to ensure scalable, auditable, and value-driven AI outcomes.

Qualifications

• Requires 12+ years of software engineering, data engineering, ML, or AI experience.
• Proven track record leading multi-team tech programs.
• Hands-on AI design patterns including RAG and agentic workflows.
• Ability to operate amid ambiguity with competing priorities.
• Experience leading technical leads, AI engineers, and data scientists.

Responsibilities

• Lead AI solutions across strategic enterprise use cases with secure, scalable designs.
• Set development standards for AgenticAI and oversee architecture decisions.
• Partner with cross-functional teams to translate opportunities into roadmaps.
• Drive disciplined execution with Agile delivery teams.
• Develop high-performing AI talent through coaching and mentoring.

Skills

Strategic tech leadership

People management

Agile delivery

Stakeholder communication

Architecture & design

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, or related technical discipline

Tools

LLMOps/MLOps

Vector search

APIs integration

Job description

Role Summary/Purpose

Help Synchrony accelerate responsible AI adoption and deliver measurable business impact by leading the technology capability that transforms prioritized business-unit AI use cases into advanced solutions. As SVP, Head of AI Solutions Technology, you will oversee delivery across multiple programs, lead AI initiatives from concept to real adoption, and ensure AI solutions accelerate transformation across business units and functions. Reporting to the Chief AI Officer, you will lead a team of AI experts responsible for designing and delivering capabilities for high-priority enterprise programs. You will partner closely with the AI leadership and teams across product, engineering, data, architecture, security, risk, legal, compliance, and the business to translate opportunities into executable technical roadmaps and durable technology outcomes. You are a hands-on technical leader with deep AI expertise, strong software engineering experience, and the ability to lead through complexity. You can engage directly with business units, analyze workflows, understand business goals and transformation plans, design target-state architectures centered on agentic AI, and drive responsible AI delivery. This role enables the Chief AI Officer to translate Synchrony's strategy for embedding generative AI into business workflows into disciplined execution and advanced agentic AI solutions. The SVP, Head of AI Solutions Technology, will provide the technical leadership and delivery discipline required to move priority use cases from concept through implementation and initial adoption.

Essential Responsibilities

• Lead AI solutions technology across strategic business-unit and enterprise use cases, managing technical leads and delivery teams across multiple concurrent programs to deliver secure and scalable AI solutions.
• Serve as a hands-on technical leader for complex AI designs, 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 aligned to business-unit outcomes, enterprise priorities, and responsible AI guardrails.
• Establish and enforce AgenticAI development standards to be used across the enterprise
• Partner with architecture, cybersecurity, data, infrastructure, platform, risk, legal, compliance, privacy, and model governance teams to ensure AI solutions meet enterprise control, resiliency, auditability, and responsible AI expectations.
• Lead design reviews and technical decision forums for major AI initiatives, ensuring teams make sound tradeoffs across build-versus-buy, model selection, integration patterns, scalability, latency, cost, maintainability, and risk.
• Build reusable AI assets, services, shared components, reference architectures, implementation playbooks, and delivery patterns that reduce cycle time and improve consistency across AI programs.
• Develop and grow high-performing AI technology talent, including hiring, coaching, succession planning, performance management, technical mentorship, and creation of a culture of excellence.
• Drive disciplined execution across Agile delivery teams, ensuring clear ownership, transparent progress, active risk management, strong dependency coordination, and rapid escalation of blockers.
• Partner with the product and business leaders to clarify requirements, identify feasibility constraints, define success metrics, and ensure AI solutions are designed for adoption, usability, and measurable value.
• Evaluate emerging AI technologies, frameworks, platforms, and vendors, and recommend practical adoption paths that strengthen Synchrony's AI technology capability while managing risk and complexity
• Perform other duties and/or special projects as assigned.

Required Qualifications

• 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
• Proven track record leading tech organizations or multi-team technical programs delivering complex, enterprise-scale technology solutions.
• Hands-on Experience with modern AI application patterns, including 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 while maintaining technical quality, team focus, and delivery momentum.
• Deep software engineering experience across architecture, APIs, cloud-native delivery, data integration.
• Demonstrated ability to lead complex technical design work, make architecture tradeoffs, partner with enterprise architecture teams, and communicate technical decisions clearly to senior leaders and delivery teams.
• Experience managing technical leads, AI engineers and/or data scientists, including staffi