Director, AI Platform and Portfolio Delivery

Discover What’s Possible At BetMGM

Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.

As a Valued Team Member, We’re Committed To Giving You The Resources And Support You Need To Thrive. Our Benefits And Perks Include:

• Medical, Dental, Vision, Life, and Disability Insurance
• 401(k) with company match
• Pre‑tax spending accounts including health care FSA and commuter savings
• Flexible paid time off
• Professional development reimbursement and ongoing skills training opportunities
• Employee resource groups
• Swag, ticket giveaways, and more!

At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.

The Director, AI Platform & Portfolio Delivery is accountable for translating BetMGM’s AI strategy into a prioritized, governed, and executable portfolio of AI initiatives. This role owns the AI portfolio intake and delivery model, partnering closely with PMO to balance business value, delivery capacity, risk, and timing.

The Director leads AI delivery through a Technical AI Director/Builder responsible for AWS-based platforms, agentic frameworks, and early use cases—ensuring solutions move efficiently from intake to production while meeting enterprise standards for security, compliance, and scalability.

This role blends portfolio leadership, delivery accountability, and platform stewardship.

The Director, AI Platform & Portfolio Delivery is accountable for translating BetMGM’s AI strategy into a prioritized, governed, and executable portfolio of AI initiatives. This role owns the AI portfolio intake and delivery model, partnering closely with PMO to balance business value, delivery capacity, risk, and timing.

The Director leads AI delivery through a Technical AI Director/Builder responsible for AWS-based platforms, agentic frameworks, and early use cases—ensuring solutions move efficiently from intake to production while meeting enterprise standards for security, compliance, and scalability.

This role blends portfolio leadership, delivery accountability, and platform stewardship.

• Own the AI portfolio intake process, including intake criteria, evaluation frameworks, and prioritization mechanisms, in close partnership with PMO to align AI demand with enterprise planning cycles, capacity management, and dependencies.
• Evaluate AI opportunities based on business value, measurable outcomes, technical feasibility, delivery effort, risk, compliance considerations, time‑to‑impact, and scalability potential.
• Maintain a transparent, prioritized AI roadmap and communicate sequencing decisions, tradeoffs, and delivery status to executive and cross‑functional stakeholders.
• Translate enterprise AI strategy and approved portfolio priorities into an executable delivery roadmap with clear milestones, ownership, and success metrics.
• Define, track, and report on realized value from AI initiatives, including cost reduction, revenue enablement, customer experience improvements, and operational efficiency gains.
• Establish and own the AI delivery operating model, including standardized AI and agent SDLC practices, production readiness criteria, release management, monitoring, and incident response.
• Define reusable architecture patterns, tooling standards, and platform guardrails that enable consistent, secure, and scalable AI solution delivery.
• Provide leadership, direction, and oversight to the Technical AI Director/Builder responsible for AWS‑based AI platforms, agentic frameworks, core infrastructure, and early production use cases.
• Balance rapid experimentation and proof‑of‑value delivery with long‑term platform sustainability,…