Executive Leadership Collaboration and Strategic Influence
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.
Tech Stack
Cloud
Benefits
comprehensive company‑sponsored benefits, including medical, dental, vision, paid time off, a 401(k) plan, tuition assistance