SVP, Head of AI Solutions Technology

Synchrony•Stamford, CT
•$200,000 - $330,000•Hybrid

About The Position

The SVP, Head of AI Solutions Technology leads Synchrony’s technology capability for turning prioritized business-unit AI opportunities into advanced, measurable solutions. Reporting to the Chief AI Officer, this role oversees delivery across multiple programs and leads AI initiatives from concept through implementation and initial adoption. The position provides technical leadership and disciplined execution to advance the use of generative and agentic AI in business workflows. The role leads AI experts and delivery teams and partners with business units and teams across product, engineering, data, architecture, security, risk, legal, compliance, privacy, infrastructure, and model governance. It translates business opportunities and transformation plans into executable technical roadmaps, target-state architectures, and durable technology outcomes. The position calls for a hands-on technical leader with deep AI and software engineering expertise who can navigate complexity and promote responsible AI delivery. The SVP establishes enterprise AgenticAI development standards, leads technical design and decision forums, and develops reusable AI assets, services, architectures, playbooks, and delivery patterns. The role also builds and develops talent, drives execution across Agile teams, evaluates emerging technologies and vendors, and ensures that solutions are secure, scalable, usable, adoptable, and aligned with business outcomes and enterprise controls.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related technical discipline.
  • 12 or more years of experience in software engineering, data engineering, machine learning, or AI.
  • Proven track record leading technology 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 work amid ambiguity, 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, and data integration.
  • Demonstrated ability to lead complex technical design work, make architecture tradeoffs, partner with enterprise architecture teams, and clearly communicate technical decisions to senior leaders and delivery teams.
  • Experience managing technical leads, AI engineers, and/or data scientists, including staffing, prioritization, performance management, coaching, standards, and talent development.
  • Strong executive communication skills, including explaining AI topics, risks, tradeoffs, costs, and delivery implications in clear business language.
  • Experience operating in Agile environments with strong delivery management, dependency coordination, and cross-functional execution discipline.
  • Experience building internal AI platforms, reusable components, or accelerators that improve delivery speed and consistency across teams.
  • Ability and flexibility to travel for business as required.

Nice To Haves

  • Advanced degree in Computer Science, Machine Learning, AI, Applied Mathematics, or a related technical field.
  • Understanding of responsible AI, model risk, data privacy, cybersecurity, legal, compliance, auditability, access controls, and operational risk considerations for AI systems in regulated environments.
  • Experience leading AI engineering in financial services, banking, payments, credit, risk, fraud, servicing, marketing, operations, or another highly regulated domain.
  • Experience managing technology vendors, cloud providers, AI platforms, consulting partners, or shared engineering resources, including scope, delivery, cost, quality, and operational accountability.

Responsibilities

  • Lead AI solutions technology for strategic business-unit and enterprise use cases, managing technical leads and delivery teams across concurrent programs.
  • Provide hands-on technical leadership 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 with business outcomes, enterprise priorities, and responsible AI guardrails.
  • Establish and enforce AgenticAI development standards across the enterprise.
  • Partner with architecture, cybersecurity, data, infrastructure, platform, risk, legal, compliance, privacy, and model governance teams to meet enterprise control, resiliency, auditability, and responsible AI expectations.
  • Lead design reviews and technical decision forums, guiding tradeoffs involving 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 to reduce cycle time and improve consistency.
  • Develop AI technology talent through hiring, coaching, succession planning, performance management, technical mentorship, and fostering a culture of excellence.
  • Drive disciplined Agile execution, including clear ownership, transparent progress, risk management, dependency coordination, and escalation of blockers.
  • Partner with product and business leaders to clarify requirements, assess feasibility, define success metrics, and design for adoption, usability, and measurable value.
  • Evaluate emerging AI technologies, frameworks, platforms, and vendors, and recommend adoption paths that strengthen AI capabilities while managing risk and complexity.
  • Perform other duties and/or special projects as assigned.

Benefits

  • Annual Incentive Plan target of 25% of salary.
  • Annual Equity target of 25% of salary.
  • Flexible work arrangement allowing work from home near a Hub or work from an office.
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