Senior Vice President of Product – AI

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential.

A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One.

As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology.

As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

SVP Product – AI will lead Elavon’s AI product strategy and execution — driving how artificial intelligence and machine learning are embedded across the payment platform, payment gateways, value-added services, and customer experiences. This leader will partner closely with the Data Platform and other product and engineering leaders to drive intelligence into products that power automation, insights, and differentiated merchant value.

You will own the AI roadmap, infusing intelligence into existing products and launching new AI-native value-added services. The role will bridge strategy, innovation, and execution — translating complex models and capabilities into simple, scalable, and compliant customer solutions.

AI Product Strategy & Leadership

Define and execute a comprehensive AI strategy aligned with the Platform, AI & Value-Added Services vision.

Identify and prioritize opportunities where AI can drive measurable business outcomes across the product portfolio.

Serve as the AI thought leader for the organization — educating internal teams and customers on the impact of generative and predictive AI in payments and commerce.

Product Development & Execution

Partner with the Data Platform team to convert AI research and data pipelines into production-grade product features.

Build and scale AI-infused capabilities in existing products to drive incremental value.

Drive end-to-end product delivery — from ideation and prototyping through launch, commercialization, and continuous improvement.

New AI Value-Added Services

Conceptualize and launch AI-powered value-added services (e.g., AI merchant insights, automated reconciliation, agentic commerce assistants).

Partner with Marketing, Sales, and Partner teams to position AI offerings as a core differentiator in the market.

Data, Ethics & Compliance

Ensure AI applications adhere to responsible AI principles, regulatory frameworks, and bank-grade compliance standards.

Collaborate with Legal, Risk, and Compliance teams to implement AI governance, transparency, and auditability practices.

Leadership & Influence

Build and lead a small, high-performing AI product team of product managers and data product specialists.

Foster a culture of innovation, experimentation, and measurable impact across product and engineering teams.

Represent the company in external forums, partnerships, and thought leadership opportunities related to AI in payments.

• 10 years of product management experience
• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or equivalent experience

• Minimum 4 years leading AI/ML or data-driven products.
• Proven track record of shipping AI-based products that deliver commercial or operational impact at scale.
• Deep understanding of machine learning, LLMs, and applied AI frameworks (e.g., data pipelines, model lifecycle, inference APIs).
• Experience working with data platform teams and modern cloud technologies (Azure, AWS, or GCP).
• Famil…