Senior VP, AI Solutions Technology & Delivery

Synchrony

United States

On-site

USD 250,000 - 360,000

Full time

2 days ago
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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

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.

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