Head of Data

🕒 May 20

🎰 Nevada – Remote

🎰 Nevada – Remote

💵 $300k - $350k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Light & Wonder

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2022

🎮 Gaming

Gaming • Entertainment

Light & Wonder is a leading global games company specializing in cross-platform gaming content and technology. Known for iconic games and expansive entertainment offerings, Light & Wonder provides a dynamic range of games that players love to play across various channels, including online, mobile, and land-based casinos. The company is committed to creating cutting-edge content and technology, providing thrilling entertainment experiences, and continuously delivering new and exciting ways to play. As a licensed gaming manufacturer, Light & Wonder operates with a dedication to sustainability and innovation, constantly pushing the boundaries of the gaming industry.

📋 Description

• Lead the Build of L&W's Centralized Data Function • Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. • Define and operate the hub-and-spoke operating model that pairs centralized standards with embedded data partnership across business units and functions. • Hire, onboard, and develop the full data hub team, building a high-performing organization with a strong talent bar and low attrition. • Develop and Execute the Multi-Year Data Strategy. • Develop a multi-year data roadmap covering infrastructure, master data management, governance, and AI-aligned use-case sequencing, endorsed by the Executive Leadership Team and integrated into the broader AI transformation plan. • Translate L&W's enterprise strategy and AI ambitions into a sequenced, executable data investment plan with clear value, timing, and accountability. • Make architectural and platform decisions that establish Snowflake-as-source-of-truth, modern data tooling, and governance standards across the enterprise. • Drive Measurable Business Value. • Deliver an early, fully shipped, financially-validated win that demonstrates the value of the data function, visible to leadership, signed off by Finance, and meaningful in dollar impact. • Stand up data infrastructure that materially supports Finance and Operations in achieving their AI AEBITDA targets, including documented data dictionaries, lineage, and shared definitions. • Ensure the data infrastructure built and operated by this role drives a meaningful share of L&W's enterprise AI AEBITDA target by 2028, with Finance attestation. • Build and deliver an R&D Intelligence Layer to support portfolio and game development decision-making, partnering closely with the Head of Product. • Establish Enterprise Data Governance and Trust. • Establish and operate enterprise data governance, including policies, stewardship roles, data domains, decision rights, and an executive Data Council. • Governance must drive measurable adherence and behavior change, not just policy documentation. • Ensure data quality, security, regulatory compliance, and AI-readiness across critical data domains. • Build the trust, transparency, and shared definitions that allow data to be confidently used in decisions across Finance, Operations, and the business units. • Executive Leadership Collaboration and Strategic Influence. • Serve as a trusted partner to the Chief Strategy Officer, Executive Leadership Team, and Board on data and AI priorities. • Build coalitions with peer leaders across Technology, Finance, Operations, and the business units, driving alignment without relying on hierarchical authority. • Prepare and deliver executive-level communications, insights, and recommendations that translate data and AI strategy into business outcomes.

🎯 Requirements

• Significant experience leading data, analytics, or data engineering organizations at the VP, SVP, or Chief Data Officer level. • Track record of building data capability in technically complex environments, including organizations with fragmented systems, multiple ERPs, and limited integrated data infrastructure. • Comfort and credibility operating in technical complexity is essential. • Demonstrated ability to translate data investments into measurable business value, expressed in dollars of revenue, cost, or AEBITDA, rather than platforms shipped or models built. • Hands-on credibility 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 to make architectural calls and hire well. • Strong working knowledge of current AI tooling, agentic workflows, LLM capabilities, and how they fit into an enterprise data strategy. • Proven ability to develop proof points and pilots through iterative phases, demonstrating value sequentially rather than betting on big-bang delivery. • Track record of building cross-functional coalitions with peer-level executives such as CTOs, CFOs, COOs, and BU heads, and navigating disagreements with peer technical leaders. • Demonstrated ability to attract, retain, and develop top-tier talent, with a track record of hiring people stronger than themselves and holding a high bar. • Public-company experience strongly preferred, including comfort with audit, regulatory, and disclosure requirements. • Industry experience in gaming, hospitality, entertainment, media, or another complex multi-business-unit consumer enterprise is a plus. • Bachelor's degree required; advanced degree (MBA, MS, PhD, or equivalent in a quantitative or technical field) preferred.

🏖️ Benefits

• comprehensive company‑sponsored benefits, including medical • dental • vision • paid time off • a 401(k) plan • tuition assistance