VP Data and AI
Location: Las Vegas, NV, United States
Description:
The Vice President of Data and AI will lead the enterprise-wide data vision, strategy and execution. The VP will be responsible for shaping how the organization acquires, integrates, and manages data across the full lifecycle – from ingestion and storage in modern data platforms to enabling actionable insights, advanced analytics, and AI. Define and own the enterprise data strategy, aligning it with corporate goals and digital transformation initiatives. Drive a holistic data lifecycle vision: Data Acquisition, Integration, Governance/Security, Storage (lake/warehouse/CDP), and Consumption (BI/AI/ML). Partner with cross-functional executives to ensure data and AI solutions support business goals. Manage vendor relationships and evaluate emerging technologies to keep data systems modern and competitive. Oversee the design of scalable pipelines to acquire structured, semi-structured, and unstructured data from internal and external sources. Ensure compliance with regulatory requirements. Establish policies for data security, compliance and ethical AI. Lead a data governance committee of technology and business SMEs. Architect and optimize data environments to support current enterprise needs and scalable for growth and adoption of new capabilities. Balance cost, scalability, and performance for storage and compute. Standardize metadata management, lineage, and cataloging to maximize data discoverability. Work with enterprise leaders to understand data needs to drive democratization of data and self-service BI and analytics adoption. Partner with internal and external teams to ensure high quality and trusted data models to drive innovation through the adoption of AI platforms and capabilities.
Qualifications:
15+ years of leadership experience in data strategy, architecture, or analytics. Proven track record leading enterprise scale data programs. Strong understanding of data governance, privacy, compliance, and regulatory frameworks. Familiarity with AI/ML use cases and enabling infrastructure for data science. Exceptional leadership, communication, and influencing skills. Ability to drive alignment across technical and non-technical stakeholders. Advanced degree in Computer Science, Data Management, Business, or related field preferred. Hospitality/Hotel/Gaming experience highly preferred.
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