Sr. Program Manager

POSITION SUMMARY

Cardone Ventures seeks a Sr. Program Manager to own the execution and adoption of our AI transformation roadmap across multiple business units. This role leads cross-functional technical programs from intake through implementation, ensuring scalable, impactful AI solutions that drive measurable business outcomes.

ABOUT CARDONE VENTURES

Our mission is to help business owners achieve their personal, professional, and financial goals through the growth of their businesses. We work in dozens of verticals and provide strategic business guidance through courses, live events, partnerships, and investments. Our core values are the backbone of our business and guide our hiring process: we are inspirational, disciplined, accountable, transparent, aligned, and results oriented. This company operates nationally and is growing by the day.

SUCCESS LOOKS LIKE

• You own the Enterprise AI Delivery Roadmap and drive execution across multiple business units and strategic initiatives
• You lead multiple concurrent AI and automation programs from intake through implementation with clear scope, timelines, and accountability
• You establish agile delivery standards across the organization and build repeatable frameworks that accelerate execution
• You proactively identify and mitigate technical and organizational risks before they impact delivery
  
  

OBJECTIVES

• Build, maintain, and drive delivery of Cardone Ventures' AI transformation roadmap across multiple business units and strategic initiatives.
• Lead multiple concurrent AI and automation initiatives from intake through implementation, ensuring delivery against agreed scope, timelines, and business priorities.
• Implement and lead agile delivery practices including backlog management, sprint planning, standups, retrospectives, release planning, and continuous improvement.
• Translate Business Needs into Technical Delivery Plans: Partner with business leaders to convert operational challenges into prioritized technical requirements, user stories, workflows, and implementation plans.
• Identify, track, and proactively resolve technical dependencies, integration risks, resource constraints, and delivery blockers before they impact timelines.
• Work closely with engineering, data, automation, and business teams to ensure technical solutions are scalable, feasible, and aligned to enterprise priorities.
• Ensure AI solutions are adopted through training, process redesign, stakeholder engagement, and operational readiness planning.
• Support development and execution of intake, prioritization, governance, and reporting frameworks for AI initiatives across the organization.
• Define, monitor, and report on key performance indicators including productivity gains, adoption rates, delivery outcomes, and business impact from AI initiatives.
• Create scalable playbooks, templates, standards, and operating rhythms that improve execution consistency and accelerate enterprise AI delivery.
  
  

COMPETENCIES

• Strong understanding of software delivery, APIs, integrations, cloud platforms, enterprise systems, and technical architecture concepts.
• Hands-on experience leading Agile delivery including sprint planning, backlog management, standups, retrospectives, and release planning.
• Practical understanding of AI technologies, workflow automation, enterprise AI tools, and digital transformation initiatives.
• Ability to understand how people, process, technology, and data connect across the business, identifying dependencies, bottlenecks, and scaling opportunities.
• Experience leading change initiatives, stakeholder engagement, communication planning, training, and adoption strategies to ensure new solutions are embedded successfully.
• Ability to assess current-state workflows, identify inefficiencies, and redesign processes that improve scalability, productivity, and business outcomes.
• Ability to define success metrics, work with dashboards and KPIs, and use data to drive prioritization, decision-making, and ROI tracking.
• Strong ability to proactively identify, assess, mitigate, and escalate technical, operational, and organizational risks.
• Ability to influence senior leaders, translate technical complexity into business language, and drive alignment across cross-functional