Vice President, Data Science

• Define and implement the enterprise Data Science strategy, roadmap, and operating model
• Serve as executive advisor on Data Science strategy, investments, risks, and emerging opportunities
• Partner with executive leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities
• Evaluate emerging Data Science, AI, and machine learning technologies and establish adoption roadmaps
• Lead, develop, and grow a high-performing organization across multiple leadership levels
• Establish enterprise standards, governance, and operating principles for machine learning, statistical modeling, experimentation, optimization, decision science, and responsible AI
• Define enterprise strategy and architecture for model lifecycle management
• Collaborate with Architecture, Data Governance, Platform Engineering, and Analytics teams
• Drive enterprise adoption of advanced analytics and machine learning solutions
• Establish frameworks to measure adoption, business impact, and value realization
• Shape an organization focused on technical excellence, innovation, accountability, and continuous learning

• 15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines
• Deep familiarity with gaming, digital product, media, or entertainment businesses preferred
• Experience leading enterprise Data Science organizations through Directors, Managers, and senior technical leaders
• Proven success building and scaling Data Science capabilities for production machine learning, AI, and advanced analytics solutions
• Experience defining enterprise Data Science operating models, governance frameworks, and model lifecycle practices
• Experience evaluating emerging Data Science, AI, and machine learning technologies and converting innovation opportunities into practical business capabilities
• Outstanding executive communication, partner influence, and organizational leadership skills
• Master's degree or PhD in a quantitative field preferred; equivalent experience will also be considered
• Must be authorized to work in the job posting location full-time without current or future visa sponsorship

Demonstrates expertise in defining and implementing enterprise Data Science strategies, governance frameworks, and model lifecycle management. Proven ability to lead high-performing teams and drive the adoption of advanced analytics and machine learning solutions across organizations.

• Data Science Strategy Development
• Machine Learning Implementation
• Advanced Analytics Solutions
• Organizational Leadership
• Statistical Modeling Governance

• Data Science
• Machine Learning
• AI
• Statistical Modeling
• Advanced Analytics
• Model Lifecycle Management
• Governance Frameworks
• Optimization
• Decision Science
• Experimentation

• Executive Communication
• Partner Influence
• Organizational Leadership

• Master's Degree
• PhD in Quantitative Field

• Gaming
• Digital Product
• Media
• Entertainment