- 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
Requirements
- 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
Core Competencies
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.
Highest-signal resume keywords
- Data Science Strategy Development
- Machine Learning Implementation
- Advanced Analytics Solutions
- Organizational Leadership
- Statistical Modeling Governance
Hard Skills
- Data Science
- Machine Learning
- AI
- Statistical Modeling
- Advanced Analytics
- Model Lifecycle Management
- Governance Frameworks
- Optimization
- Decision Science
- Experimentation
Soft Skills
- Executive Communication
- Partner Influence
- Organizational Leadership
Certifications & Qualifications
- Master's Degree
- PhD in Quantitative Field
Industry Keywords
- Gaming
- Digital Product
- Media
- Entertainment