Senior Director, AI Strategy and Operations

• Define and lead the enterprise AI product portfolio across business functions, corporate services, media, and athlete performance businesses
• Identify, prioritize, and deliver high-value AI opportunities with strategy and functional executives
• Establish product roadmaps for AI-powered experiences, copilots, intelligent applications, and autonomous agents
• Align AI investments with enterprise strategy, governance requirements, and measurable business outcomes
• Develop product success metrics, adoption targets, and value realization frameworks
• Design next-generation operating models integrating AI agents into business processes and workflows
• Redesign workflows for human-AI collaboration, including agentic operating processes that augment or automate work
• Establish standards and methodologies for agent orchestration and human-agent interaction models
• Build and lead a team of AI Product Managers
• Establish AI and agentic systems product management practices
• Lead product prioritization, roadmap management, requirement definition, and stakeholder alignment
• Partner with AI engineering, data science, platform, security, and architecture teams from concept through deployment
• Lead multidisciplinary design work for intuitive AI, conversational, agent, and AI-enabled workflow experiences
• Create repeatable design patterns for copilots, agents, and human-AI workflow integration
• Establish frameworks to measure utilization, engagement, productivity gains, business outcomes, and financial returns
• Drive organizational adoption with HR, Communications, Learning, and functional leadership teams
• Build feedback mechanisms to continuously improve AI products and experiences
• Serve as primary liaison between business leaders and AI delivery teams
• Facilitate alignment across strategy, technology, operations, data, governance, risk, and change management functions
• Support executive steering committees and portfolio governance processes

Requirements

• 15+ years of leadership experience spanning product management, operations, strategy, digital transformation, consulting, analytics, or technology leadership
• Demonstrated success driving enterprise-scale transformation and AI-enabled business outcomes
• Experience leading AI, Generative AI, Machine Learning, Agentic AI, Automation, or Digital Product organizations
• Experience designing enterprise workflows and operating models, and building or scaling AI-enabled products and services
• Experience in retail, media, consumer, technology, sports, healthcare, financial services, or similarly complex enterprises preferred
• Familiarity with Responsible AI, governance frameworks, and AI risk management
• Knowledge of AI-powered products, copilots, intelligent applications, autonomous agents, and agentic business workflows
• Knowledge of knowledge fabric, AI models, AI-enabled workflows, agent orchestration, and human-agent interaction models
• Ability to partner with AI engineering, data science, platform, security, and architecture teams from concept through deployment
• Knowledge of standards for conversational experiences, agent interactions, AI-enabled workflows, and repeatable design patterns for human-AI workflow integration
• Knowledge of frameworks to measure AI utilization, engagement, productivity gains, business outcomes, financial returns, user satisfaction, operational efficiency, and time-to-value
• Strategic thinking connecting AI opportunities to enterprise value creation and long-term business strategy
• Systems thinking to redesign end-to-end workflows combining people, process, technology, and AI agents
• Product leadership to build and scale AI product portfolios driving measurable outcomes
• Human-centered design to create trusted and impactful human-AI collaboration experiences
• Organizational influence and change leadership across diverse stakeholders, competing priorities, and transformative initiatives
• Cameras must be on during all virtual interviews
• AI tools are not permitted during any part of the interview process
• Satisfactory background check, which may include ID verification

Core Competencies

Demonstrates extensive leadership in AI product management, driving enterprise-scale transformation and measurable business outcomes through strategic alignment and innovative AI solutions. Proficient in designing workflows and operating models that integrate AI technologies, ensuring effective human-AI collaboration and value realization.

Highest-signal resume keywords

• AI Product Management
• Enterprise Transformation
• Generative AI
• Human-Centered Design
• Strategic Thinking

ATS Optimization Keywords

Hard Skills

• AI-Enabled Workflows
• Agentic AI
• Machine Learning
• Product Roadmap Management
• Workflow Redesign
• AI Risk Management
• Data Science Collaboration
• Conversational Experience Standards
• Value Realization Frameworks
• Performance Metrics Development

Soft Skills

• Organizational Influence
• Change Leadership
• Stakeholder Alignment
• Multidisciplinary Collaboration
• Feedback Mechanism Development

Industry Keywords

• Digital Transformation
• Governance Frameworks
• AI-Powered Products
• Autonomous Agents
• Complex Enterprises
• Retail
• Media
• Healthcare
• Financial Services
• Consumer Technology