VP of Data & Analytics

Description:

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ownership across game development analytics (game performance, player telemetry) and internal business functions (FP&A, operations reporting, commercial analytics). The VP of Data & Analytics will also ensure the same metrics and reporting is used across different functions and is a critical enabler of the agentic AI program, as every AI initiative depends on the clean, reliable data infrastructure this role builds and governs.

Responsibilities

- Own AGS's data strategy end-to-end — data sourcing, data platform architecture, data products, data governance, and data quality across all functions - Own the data warehouse architecture — OneLake/Microsoft Fabric implementation, ingestion pipelines from ERP, CRM, game cabinets, and iGaming platforms - Bridge game development and internal functions — ensure game analytics (telemetry, performance data, player behavior) and internal analytics (FP&A, ops, sales reporting) are served by a unified data platform - Define and enforce data governance standards — data ownership, data classification, data quality SLAs, lineage documentation, and access controls - Build data products — operator-facing performance dashboards, executive scorecards, game analytics products that serve game designers and commercial teams - Drive the telemetry strategy — ensure cabinet telemetry data flows from AGS's deployed fleet into the data platform to enable predictive maintenance and yield management - Support the agentic AI program — ensure data infrastructure is sequenced and delivered to unblock ML model development and AI agent deployment - Manage vendor relationships — Microsoft Fabric, data tooling providers, and analytics platform vendors - Establish data literacy across the organization — training and enabling business users to access and use data through self-serve analytics tools like PowerBI Requirements:

Skills/Requirements

- 10+ years of progressive data and analytics leadership, with at least 3 years in a VP, Senior - Director, or Head of Data role - Proven data platform build experience — has built or significantly transformed a data warehouse, data lake, or lakehouse from the ground up at a company of comparable scale - Microsoft Fabric / Azure Data Stack expertise preferred — familiarity with OneLake, Azure Data Factory, Azure Synapse, and Power BI - Strong data engineering foundations — deep enough technical understanding to review architecture decisions, evaluate engineering quality, and hire and develop data engineers - Data governance expertise — experience implementing MDM, data cataloging (Purview, Collibra, or equivalent), and data quality frameworks - Cross-functional stakeholder management — has served both technical teams (game developers, ML engineers) and business stakeholders (CFO, VP Sales) with data products - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field

Preferred

- Gaming or B2B manufacturing industry experience - Familiarity with SAS protocol and casino management system data structures - Experience with game telemetry, IoT data, or distributed asset data strongly preferred- understanding of event-based data at scale

Note: All offers are contingent upon successful completion of a background check