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Master Data Management Manager Jobs in Reno, NV (NOW HIRING)

Manager, Accounts Payable

Carson City, NV · On-site

$64K - $88K/yr

... Supplier Management * Serve as the primary point of escalation for vendor payment disputes, reconciliation issues, and statement discrepancies. * Maintain accurate vendor master data including ...

The role is responsible for maintaining excellent data collection through management of a team of vehicle operators and individual excellence in testing tracks. Responsibilities : • Be an expert in ...

Data Center Facility Manger role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot mission ...

Data Center Facility Manager

Sparks, NV · On-site

$170K/yr

Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling ...

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Master Data Management Manager information

See Reno, NV salary details

$30.9K

$96.9K

$171.5K

How much do master data management manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for master data management manager in Reno, NV is $96,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $125,100.00 per year, depending on experience, location, and employer.

How does a Master Data Management Manager typically collaborate with IT and business stakeholders to ensure data integrity?

A Master Data Management (MDM) Manager plays a pivotal role in bridging the gap between IT teams and business units. They regularly facilitate workshops and meetings to understand business requirements, then translate these into data governance policies and technical specifications for IT implementation. The MDM Manager also monitors data quality, oversees data integration processes, and ensures that all stakeholders adhere to established data standards. Effective communication and cross-functional collaboration are essential to maintain high data integrity and support organizational goals.

What are the key skills and qualifications needed to thrive as a Master Data Management Manager, and why are they important?

To thrive as a Master Data Management Manager, you need expertise in data governance, data quality management, and a strong understanding of master data principles, often supported by a degree in computer science, information systems, or a related field. Familiarity with MDM platforms (like Informatica, SAP, or Oracle), data integration tools, and relevant certifications such as CDMP is highly beneficial. Strong leadership, project management, and stakeholder communication skills help drive cross-functional data initiatives and resolve complex data issues. These skills are crucial to ensuring data consistency, compliance, and strategic value across the organization.

What is a Master Data Management Manager?

A Master Data Management (MDM) Manager is a professional responsible for overseeing the processes and systems that ensure an organization's core business data—such as customer, product, or supplier information—is accurate, consistent, and accessible across the company. They lead teams that develop and enforce data governance policies, implement MDM technologies, and coordinate with various departments to maintain data quality. MDM Managers play a critical role in optimizing business operations, supporting analytics, and ensuring regulatory compliance by managing the organization's master data assets.

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

AspectMaster Data Management ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; often certifications in data analysis tools
Work EnvironmentTypically in data management teams, IT departments, or data governance unitsOften in business units, marketing, finance, or operations teams
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and retailCommon across various industries for data-driven decision making

The Master Data Management Manager focuses on overseeing the quality, consistency, and governance of core business data, ensuring data accuracy across systems. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require strong data skills, the MDM Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are popular job titles related to Master Data Management Manager jobs in Reno, NV? For Master Data Management Manager jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Master Data Management Manager jobs in Reno, NV look for? The top searched job categories for Master Data Management Manager jobs in Reno, NV are:
Infographic showing various Master Data Management Manager job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,860 per year, or $46.6 per hour.
Data Engineering Manager

Other

Posted 8 days ago


Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

21st of 88 rated recycling and waste


Job description

Data Engineering Manager

Redwood Materials is looking for a motivated and talented Manager of Data Engineering to lead a team of Data Engineers and Analysts. This role requires collaboration with other business units to identify needs, scope problems, and chart the long-term roadmap for the data platform and services. The Data team is responsible for managing data assets in a data lake architecture and overseeing the full data lifecycle from ingestion to processing to consumption. The ideal candidate is someone with experience managing technical teams, strong interpersonal skills, and technical skills in data engineering and creating/managing/supporting AWS infrastructure.

Responsibilities will include:

  • Lead and grow a team of data engineers and analysts, including hiring, mentoring, career development, and performance management
  • Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investment, new pipeline development, and analytics requests from across the business
  • Drive cross-functional collaboration with teams across Redwood to discover needs, scope problems, and translate requirements into technical deliverables
  • Oversee the design and operation of data pipelines spanning streaming datasets, APIs, and various data stores, ensuring they meet reliability and quality standards
  • Operationalize the team - set on-call expectations, triage incoming work, and ensure production data workloads have appropriate monitoring and incident response
  • Stay technically hands-on - review code, prototype solutions, and step into pipeline or infrastructure work alongside the team
  • Foster a culture of technical excellence and execution, and champion the data team's work across the broader organization

Desired Qualifications:

  • Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
  • Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams
  • Strong technical foundation in Python and SQL sufficient to review code, evaluate design decisions, and guide the team through hard technical problems (Trino experience a plus)
  • Familiarity with the modern data engineering stack - relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
  • Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
  • Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
  • Strong interpersonal and communication skills; able to translate between business stakeholders and technical teams, and to advocate for the team's roadmap with senior leadership
  • A Passion for sustainability and making the world a better place!

Physical Requirements:

  • Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.
  • Occasionally stand/walk, twist/bend/stoop/squat, reach/work above shoulders, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.

Working Conditions:

  • Infrequent night/weekend work if production systems are down and require immediate attention.

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