VP of AI Strategy & Enterprise Innovation

Credit One Bank; Las Vegas (NV); On-site; USD 230,000 - 330,000; Full time

Job summary

Credit One Bank in Las Vegas seeks a transformative VP of Artificial Intelligence to lead enterprise AI strategy, governance, and execution across all units. You will steer the development of scalable AI platforms, ML/LLM initiatives, and responsible AI practices, partnering with Technology, Data, Risk, Compliance, and business leaders to deliver measurable value.

The role requires 12–15+ years in AI/ML with 7+ in leadership, strong cloud, MLOps, and governance experience, and a track record of

Qualifications

• 12–15+ years in AI/ML, software engineering, or data science.
• 7+ years in leadership roles leading technical teams.
• Proven ability to architect and scale production ML systems.
• Strong knowledge of Responsible AI, risk controls, and regulatory expectations.
• Excellent communication with senior executives.

Responsibilities

• Define and lead the enterprise AI strategy and governance.
• Build and oversee AI Centers of Excellence.
• Partner with IT, Data, and Cloud to scale AI platforms and MLOps.
• Identify high-impact AI opportunities for automation and revenue growth.
• Lead development, deployment, and lifecycle management of AI/ML models.
• Establish standards for model explainability and regulatory compliance.

Skills

AI strategy leadership

Cross-functional leadership

Executive communication

MLOps

Project management

Ethical AI

Education

Bachelor's degree in CS/Engineering/Data Science

Master's or PhD preferred

Tools

Azure ML

SageMaker

Databricks

Kubernetes

MLflow

Job description

Credit One Bank in Las Vegas seeks a transformative VP of Artificial Intelligence to lead enterprise AI strategy, governance, and execution across all units. You will steer the development of scalable AI platforms, ML/LLM initiatives, and responsible AI practices, partnering with Technology, Data, Risk, Compliance, and business leaders to deliver measurable value.

The role requires 12–15+ years in AI/ML with 7+ in leadership, strong cloud, MLOps, and governance experience, and a track record of