Vice President, Data Science

Jobtailor

Las Vegas (NV)

On-site

USD 250,000 - 320,000

Full time

11 days ago

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Job summary

Jobtailor seeks a visionary Head of Data Science to define and lead an enterprise-wide strategy, governance, and operating model for ML, AI, and advanced analytics. You will partner with executive leaders to scale opportunities across gaming, digital product, and entertainment domains.

You will build a high-performing organization, establish lifecycle practices, and drive adoption with measurable business impact while ensuring responsible AI and strong governance.

Qualifications

15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines.

Responsibilities

Demonstrates expertise in defining and implementing enterprise Data Science strategies, governance frameworks, and model lifecycle management.

Skills

Data Science Strategy

ML Implementation

Advanced Analytics

Organizational Leadership

Statistical Modeling Governance

Education

Master's Degree

PhD in Quantitative Field

Tools

Data Science

Machine Learning

Statistical Modeling

Model Lifecycle

Governance Frameworks

Optimization

Decision Science

Experimentation

Job description

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.

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