Head of Data

This is a fully remote position, open to applicants in Nevada.

📋 Description

• Lead the development of L&W's Centralized Data Function.

• Establish L&W's centralized data hub, encompassing infrastructure, master data management, governance, data engineering, analytics engineering, and data science capabilities.

• Define and implement the hub-and-spoke operating model that combines centralized standards with embedded data partnerships across various business units and functions.

• Recruit, onboard, and nurture the complete data hub team, fostering a high-performing organization with exceptional talent and low turnover.

• Formulate and execute the Multi-Year Data Strategy.

• Create a multi-year data roadmap that includes infrastructure, master data management, governance, and AI-aligned use-case sequencing, approved by the Executive Leadership Team and integrated into the overarching AI transformation plan.

• Translate L&W's enterprise strategy and AI goals into a structured, actionable data investment plan with defined value, timing, and accountability.

• Make architectural and platform decisions that establish Snowflake as the source of truth, along with modern data tooling and governance standards throughout the enterprise.

• Drive measurable business value.

• Achieve an early, fully delivered, financially-validated success that highlights the value of the data function, visible to leadership, approved by Finance, and significant in dollar impact.

• Establish data infrastructure that significantly aids Finance and Operations in reaching their AI AEBITDA targets, including comprehensive data dictionaries, lineage, and shared definitions.

• Ensure the data infrastructure developed and managed by this role contributes significantly to L&W's enterprise AI AEBITDA target by 2028, with Finance attestation.

• Create and implement an R&D Intelligence Layer to support portfolio and game development decision-making, collaborating closely with the Head of Product.

• Establish enterprise data governance and trust.

• Develop and oversee enterprise data governance, including policies, stewardship roles, data domains, decision rights, and an executive Data Council.

• Governance initiatives must promote measurable adherence and behavioral changes, not solely policy documentation.

• Guarantee data quality, security, regulatory compliance, and AI-readiness across essential data domains.

• Foster trust, transparency, and shared definitions that enable confident data usage in decision-making across Finance, Operations, and business units.

• Collaborate with executive leadership and exert strategic influence.

• Act as a trusted advisor to the Chief Strategy Officer, Executive Leadership Team, and Board regarding data and AI priorities.

• Build alliances with peer leaders across Technology, Finance, Operations, and business units, promoting alignment without relying on hierarchical authority.

• Prepare and present executive-level communications, insights, and recommendations that align data and AI strategy with business outcomes.

⛳️ Requirements

• Extensive experience leading data, analytics, or data engineering organizations at the VP, SVP, or Chief Data Officer level.

• Proven track record of developing data capabilities in technically intricate environments, including organizations with fragmented systems, multiple ERPs, and limited integrated data infrastructure.

• Comfort and credibility in navigating technical complexities are essential.

• Demonstrated ability to convert data investments into measurable business value, articulated in terms of revenue, cost, or AEBITDA, rather than platforms delivered or models constructed.

• Hands-on expertise in modern data infrastructure and data engineering, including cloud data platforms (Snowflake, Databricks, or equivalent), modern data tooling (dbt, MDM tooling), and ML platform fundamentals, sufficient for making architectural decisions and hiring effectively.

• Strong familiarity with current AI tools, agentic workflows, LLM capabilities, and their integration into an enterprise data strategy.

• Proven ability to develop proof points and pilots through iterative phases, demonstrating value incrementally rather than relying on large-scale delivery.

• Track record of building cross-functional coalitions with peer-level executives such as CTOs, CFOs, COOs, and BU heads, and effectively managing disagreements with peer technical leaders.

• Demonstrated capacity to attract, retain, and cultivate top-tier talent, with a history of hiring individuals stronger than oneself and maintaining high standards.

• Experience in a public company is strongly preferred, including familiarity with audit, regulatory, and disclosure requirements.

• Industry experience in gaming, hospitality, entertainment, media, or another complex multi-business-unit consumer enterprise is advantageous.

• Bachelor's degree is required; an advanced degree (MBA, MS, PhD, or equivalent in a quantitative or technical field) is preferred.

🏝️ Benefits

• Comprehensive company-sponsored benefits, including medical.

• Dental.

• Vision.

• Paid time off.

• A 401(k) plan.

• Tuition assistance.