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, dataproducts, 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, dataquality 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
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
Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.