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Master Data Manager Jobs in California (NOW HIRING)

The Master Data Analyst manages oversight of key items and vendor settings for proper item management across all business systems, including Management of the item database keeping it as clean and as ...

Own and lead the firm's data quality and master data management program across designated data domains. * Establish, enforce, and continuously improve data quality standards, KPIs, and SLAs (e.g ...

Own and lead the firm's data quality and master data management program across designated data domains. * Establish, enforce, and continuously improve data quality standards, KPIs, and SLAs (e.g ...

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Master Data Manager information

See California salary details

$30.6K

$95.9K

$169.7K

How much do master data manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for master data manager in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

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.

Is MDM outdated?

Master Data Management (MDM) remains a vital function for data-driven organizations, ensuring data consistency and accuracy across systems. While new technologies like data lakes and cloud platforms have evolved, MDM practices are still essential for maintaining reliable master data, and professionals in this field need skills in data governance and tools like Informatica or Collibra.

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.

What are the 4 types of MDM?

Master Data Management (MDM) typically includes four main types: consolidated, registry, coexistence, and centralized. Consolidated MDM creates a single, unified view of data by merging records from multiple sources, while registry MDM maintains links between records without merging. Coexistence MDM allows data to be managed separately but synchronized, and centralized MDM stores all master data in a single repository, often requiring strong data governance and data quality practices.

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 role of a master data manager?

A master data manager is responsible for overseeing the organization’s core data assets, ensuring data accuracy, consistency, and integrity across systems. They develop data governance policies, manage data quality initiatives, and collaborate with IT and business teams to maintain reliable master data. Proficiency in data management tools and understanding of data standards are essential for this role.

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.

What is a master data management job?

A master data management (MDM) job involves overseeing and maintaining an organization’s core data assets to ensure accuracy, consistency, and reliability across systems. Professionals in this role typically work with data governance, data quality tools, and enterprise software to create a unified view of critical information such as customer, product, or supplier data.
What are the most commonly searched types of Master Data jobs in California? The most popular types of Master Data jobs in California are:
What cities in California are hiring for Master Data Manager jobs? Cities in California with the most Master Data Manager job openings:
Infographic showing various Master Data Manager job openings in California as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 3% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.

Data Analyst, Master Data Management, Supply Chain

Everpure

Santa Clara, CA • On-site

Other

PTO

Posted 6 days ago


Job description

THE ROLE

At Everpure, we are building the future of supply chain operations, and trusted master data is the foundation of our success. As our Data Analyst for Supply Chain Master Data Management (MDM), you will champion data integrity by translating complex data sets into actionable health metrics and operational reporting. You will partner closely with global Supply Chain, Order Management, IT, and external Contract Manufacturers to diagnose systemic data gaps and drive process improvements. Your analytical insights will directly reduce operational complexity, ensuring our data scales seamlessly with our growth.

WHAT YOU'LL DO

  • Engine Data Quality Monitoring: Build, maintain, and scale dashboards and KPI reporting to measure the health, compliance, and lifecycle controls of core supply chain domains (item, product, bill of materials, sourcing, and logistics).
  • Drive Root Cause Remediation: Conduct deep-dive root cause analysis on master data anomalies and integration failures across enterprise systems (SAP), partnering with data stewards and technical teams to implement long-term structural fixes.
  • Optimize External Ecosystems: Liaise with Contract Manufacturers to track and govern critical shared data elements, eliminating friction points and ensuring smooth cross-organizational operations.
  • Advance Data Governance Standards: Design and track continuous improvement data quality rules, translating complex analytical findings into actionable recommendations for future governance workflows and exception reporting.

WHAT YOU BRING

  • Analytical & Technical Expertise: Proven technical proficiency in querying and modeling data using SQL, alongside hands-on experience building operational reporting inside modern BI tools.
  • Supply Chain & System Literacy: Strong structural understanding of enterprise architecture, specifically how master data flows through ERP systems (SAP) and impacts planning, sourcing, logistics, and order management.
  • Diagnostic & Problem-Solving Mindset: Demonstrated ability to dissect complex data anomalies, perform root-cause analysis, and connect data health directly to downstream business outcomes.
  • Collaborative Communication: Exceptional ability to translate technical data findings, anomalies, and requirements into clear, actionable insights for both technical IT teams and non-technical business stakeholders.

We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Pure's policies, unless you are on PTO, or work travel, or other approved leave.