GamblingCareers.com · 4 hours ago
Vice President, Global Analytics & Data Science
Austin, TX
Full-time
Onsite
Director/Executive
$262K/yr - $487K/yr
15+ years expGamblingCareers.com is seeking a Vice President, Global Analytics & Data Science to lead the company’s enterprise Analytics-as-a-Service organization. This role is responsible for defining analytics strategies, promoting data storytelling, and leveraging AI capabilities to drive business insights and decision-making.
Casino
No H1B
Responsibilities
Define and implement an enterprise analytics strategy that enables a scalable, customer-facing Analytics-as-a-Service operating model
Establish service models, engagement patterns, prioritization frameworks, and success metrics that balance business demand, delivery capacity, and strategic value
Act as a senior advisor to business leaders and customers, setting clear expectations on scope, timelines, tradeoffs, and outcomes for analytics engagements
Building a long-term vision for analytics evolves the organization from reporting to insight-led decision enablement, including predictive and prescriptive modelling of data and responsible adoption of AI-powered analytics
Promote data storytelling as a core skill in the analytics team, making sure insights are clear, contextual, and ready for decision-making
Establish standards for visualization, narrative flow, and communication with executives across analytics outputs
Ensure analytics leaders and practitioners can turn complex analytical results into business-relevant stories that drive action at all organizational levels
Offer knowledgeable guidance on BI, analytics, and AI platforms, with a solid understanding of what high-quality, scalable analytics look like
Collaborate with data engineering and technology teams to ensure analytics platforms are reliable, user-friendly, and capable of supporting future growth
Define how AI-driven analytics (such as augmented analytics, natural language insights, and automation) can ethically improve scale, efficiency, and customer experience
Qualification
Required
15+ years of dynamic experience in analytics, data science, or data-driven transformation
5+ years in senior or executive leadership roles within analytics, data science, or data-driven transformation
Consistent record of defining and delivering enterprise analytics strategies that drive measurable business impact
Demonstrated experience building and scaling analytics and data science platforms
Expertise in AI/ML technologies, including predictive modeling, generative AI, and advanced analytics methodologies
Strong understanding of ML Ops practices, including model deployment, governance, monitoring, and lifecycle management
Experience leading global, cross-functional teams spanning analytics, data science, and engineering
Confirmed ability to collaborate effectively with product, technology, and commercial organizations to translate data and AI capabilities into business solutions
Excellent communication and storytelling skills — able to influence C-suite collaborators and translate sophisticated analytics and AI concepts into strategic insights
Strong familiarity with modern data and analytics stacks, cloud platforms (e.g., AWS, GCP, Azure, Snowflake), and visualization tools (e.g., Tableau, Power BI, Looker). (Sql knowledge, conceptual, not daily coding)
Passion for innovation, operational excellence, and responsible AI
Generative AI understanding, LLM capabilities and limitations, Prompting vs fine-tuning vs RAG, Hallucinations, grounding, and trust issues
Automation, AI Enablement & the Future of Analytics
Preferred
Advanced degree (MS or PhD or equivalent experience or relevant experience) in Computer Science, Statistics, Artificial Intelligence, or related field
Benefits
Health, dental, and vision insurance
Paid time off
401(k) plan with employer matching
Company
GamblingCareers.com
GamblingCareers.com is the leading job board for the iGaming and Online Gambling industry, dedicated to bridging the gap between talented job seekers and top employers in the sector.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase