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Master Data Manager Jobs in Nevada (NOW HIRING)

Light and Wonder, Inc.

Head of Data

Las Vegas, NV · On-site

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 ...

Lnw

Head of Data

Las Vegas, NV · On-site

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 ...

Pwc

Data Strategy-Manager

Las Vegas, NV

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

NAVA Software Solutions

Data Modeler

Las Vegas, NV · On-site

$52.75 - $68.25/hr

Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data ...

Pwc

Data Governance- Manager

Las Vegas, NV

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Marencor

Data Modeler

Las Vegas, NV · On-site

$52.25 - $67.75/hr

Should have in-depth understanding on Data Warehousing, Data Analysis, Data Profiling , Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary , Data Mapping, Data Policy, and Data ...

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All JobsMaster Data JobsMaster Data Manager JobsMaster Data Manager Jobs in Nevada

Master Data Manager information

See Nevada salary details

$31.6K

$98.9K

$175.1K

How much do master data manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for master data manager in Nevada is $98,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data manager make?

The average salary for a master data manager in the United States ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with certifications in data management tools and strong analytical skills tend to earn higher salaries.

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

The most popular types of Master Data jobs in Nevada are:

What cities in Nevada are hiring for Master Data Manager jobs?

Cities in Nevada with the most Master Data Manager job openings:

Master Data Manager jobs near you
Infographic showing various Master Data Manager job openings in Nevada as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $98,923 per year, or $47.6 per hour.

Head of Data

Light and Wonder, Inc.

Las Vegas, NV • On-site

Full-time

Re-posted 14 days ago

Light & Wonder rating

7.2

Company rating: 7.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

10th of 15 rated gambling companies

Job description

Corporate:
Light & Wonder's corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.
Position Summary
The Head of Data is a critical, highly visible leadership role at the heart of Light & Wonder's AI transformation. Reporting directly to the Chief Strategy Officer, this leader will build L&W's centralized data hub, establishing the infrastructure, master data management, governance, and data science capability that the enterprise AI agenda depends on. This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data becomes a defensible source of competitive advantage and a measurable driver of business value.
Light & Wonder has embarked on an ambitious AI-enabled transformation, and the Head of Data will serve as a core architect of that journey, translating L&W's data ambition into infrastructure, capability, and outcomes that directly support the enterprise AI AEBITDA agenda. This is an executive level role with significant scope, significant visibility and significant impact.
Primary Roles and Responsibilities Include:
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.

Qualifications
  • Significant experience leading data, analytics, or data engineering organizations.
  • 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.

Education:
  • Bachelor's degree required; advanced degree (MBA, MS, PhD, or equivalent in a quantitative or technical field) preferred.

Work Conditions:
Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts.
In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you'd like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.

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