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Executive Insurance Data Analytics Jobs in Nevada

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Build data products - operator-facing performance dashboards, executive scorecards, game analytics products that serve game designers and commercial teams * Drive the telemetry strategy - ensure ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

Build data products -- operator-facing performance dashboards, executive scorecards, game analytics products that serve game designers and commercial teams * Drive the telemetry strategy -- ensure ...

Lnw

Head of Data

Las Vegas, NV

... executive-level communications, insights, and recommendations that translate data and AI strategy into business outcomes. Qualifications * Significant experience leading data, analytics, or data ...

Light and Wonder, Inc.

Head of Data

Las Vegas, NV · On-site

... executive-level communications, insights, and recommendations that translate data and AI strategy into business outcomes. Qualifications * Significant experience leading data, analytics, or data ...

Pwc

Data Strategy & Governance -Director

Las Vegas, NV · On-site

$155K - $410K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... executive-level client relations while fostering an environment where innovation thrives. This role ...

Sundt

Project Executive - Data Center

Reno, NV · On-site

... to insurance certificates, bonds, and the appropriate lien waivers. 13. Responsible for ... analysis, construction operations, and cash flow procedures is essential. Note: is subject to ...

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Executive Insurance Data Analytics information

What is an executive insurance data analytics?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.

How does an executive insurance data analytics typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an executive insurance data analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

What is the difference between Executive Insurance Data Analytics vs Insurance Data Analyst?

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What are the most commonly searched types of Insurance Data Analytics jobs in Nevada?

The most popular types of Insurance Data Analytics jobs in Nevada are:

Executive Insurance Data Analytics jobs near you

VP of Data & Analytics

Las Vegas, NV • On-site

AGS
See more jobs at AGSexternal

Full-time

Re-posted 7 days ago

Job description


Job Overview
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.
AGS is an equal opportunity employer
Job Snapshot
  • Location:
    Las Vegas, Nevada
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Snapshot
  • Location:
    Las Vegas, Nevada
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

Job Description
Job Overview
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.
AGS is an equal opportunity employer
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.

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