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Master Data Jobs in California (NOW HIRING)

... master and reference data concepts, ownership, and synchronization approaches in the absence of a formal MDM tool. • Partner with enterprise architecture and application teams to embed governance ...

Lead business analysis for master data management initiatives focused on Agile PLM, SAP S/4HANA, and SAP MDG. * Collaborate with business and IT stakeholders to define data governance processes ...

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Master Data information

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$19

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How much do master data jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for master data in California is $43.77, according to ZipRecruiter salary data. Most workers in this role earn between $30.14 and $54.57 per hour, depending on experience, location, and employer.

What is a master data professional?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in master data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

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

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

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 are popular job titles related to Master Data jobs in California?

For Master Data jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Master Data jobs?

Cities in California with the most Master Data job openings:

Infographic showing various Master Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,039 per year, or $43.8 per hour.

Director, Master Data Governance

Grocery Outlet

Emeryville, CA • On-site

$175K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago


Grocery Outlet rating

5.8

Company rating: 5.8 out of 10

Based on 412 frontline employees who took The Breakroom Quiz

72nd of 122 rated grocery stores


Job description

About Grocery Outlet:
  • Our Mission: Touching lives for the better
  • Our Vision: Touching lives by being the first choice for bargain-minded consumers in the U.S.
  • Our Values & Behaviors: Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service

About the Team:
Our Supply Chain and Logistics team mission is to provide top notch service to our stores and purchasing teams- contributing to the goal to make Grocery Outlet the first choice for bargain minded customers while touching lives for the better. Our team oversees the successful movement of products from our vendors to our stores and is self-motivated, passionate, and dedicated.
About the Role:
As the Director, Data Governance, you will lead Grocery Outlet's master data governance program - the people, processes, and standards that ensure our vendor, item, cost, retail, and purchase order data is accurate, consistent, and trusted from the moment it is created through to the point it reaches the store shelf. This is a hands-on, build-from-the-ground-up role. You will start by defining the data fields and standards required to correctly set up a vendor, set up an item, and write a purchase order. You will then establish the right way to create and maintain that data natively within SAP - working with the system rather than around it - and lead two connected bodies of work: remediating the existing bad data created through years of workarounds, and standing up the intake processes and controls that keep all new data clean as it flows through our end-to-end systems.
Critically, this role protects the speed of our buying process. Grocery Outlet's success depends on moving quickly on opportunistic deals, so you will balance doing it right at the front end with cleaning it up at the back end - building governance that enables the buy, never blocks it. You will operate as a cross-functional leader, partnering closely with Merchandising, Finance/FP&A, IT/Business Technology, and Store Operations to establish clear ownership, enforce standards, and embed governance into day-to-day workflows. This role requires both strategic leadership and hands-on execution to build and sustain a scalable governance model that supports our growing business. The Director, Data Governance will report to the VP of Supply Chain Systems, Data and Engineering and will lead a team, including a direct-report Manager who oversees a team of four.
Responsibilities Include:
Master Data Definition & SAP Design
  • Define the data fields, attributes, and standards required to correctly set up a vendor, set up an item, and write a purchase order - the foundational master data model for the enterprise
  • Establish the correct, repeatable way to create and maintain master data natively within SAP, eliminating the workaround culture and designing processes that work with the system rather than against it
  • Designate and enforce clear system-of-record ownership for each master data domain (vendor, item, cost, retail, PO)
  • Partner with IT/Business Technology to ensure SAP configuration, validation rules, and data entry workflows support clean data by design

Data Remediation & Quality
  • Lead the cleanup and remediation of existing bad master data created outside of standard, including incomplete, inconsistent, or workaround-driven records
  • Define and track data quality KPIs tied to business impact (e.g., UPC scan accuracy, cost/retail accuracy, vendor funding capture, inventory accuracy)
  • Lead root cause analysis and resolution of systemic, recurring data issues at their source

Process, Controls & New Data Intake
  • Stand up the intake processes, validation workflows, and controls that ensure all new vendor, item, and PO data is set up correctly the first time and flows cleanly through the system
  • Balance data quality discipline against the speed of the buying process - governance controls must protect and accelerate, not slow, opportunistic purchasing
  • Embed governance into day-to-day business workflows rather than operating as a standalone, bureaucratic function

End-to-End Data Flow & Store-Level Accuracy
  • Monitor the flow of master data across the end-to-end system landscape, ensuring data moves correctly between SAP and downstream systems through to the store level
  • Ensure clean, accurate data reaches stores so UPCs scan correctly and costs and retails are set up properly - shifting the burden of catching upstream data issues off of store teams
  • Identify and close the gaps where stores are currently catching errors that should be prevented upstream

Cross-Functional Leadership & Alignment
  • Partner with senior leaders across Supply Chain, Merchandising, Finance, Store Operations, and IT to align on data ownership, standards, and definitions
  • Establish and drive a clear data ownership model, holding Data Owners and Data Stewards accountable to defined standards
  • Establish a structured process for logging, tracking, and resolving data quality issues, escalating critical issues to leadership when needed
  • Serve as the central point of coordination across data domains as the enterprise lead for master data governance

Team Leadership & Culture
  • Lead, coach, and develop a team of data governance professionals, including a direct-report Manager who oversees a team of four
  • Build a high-performing, accountable team culture that treats clean data as a shared responsibility and a driver of business results
  • Set clear goals, priorities, and standards for the team, developing functional SAP and process-design depth as the function scales
  • Model a service-oriented, business-partnering mindset across the team - enabling the buy, never blocking it

Technology & Enablement
  • Support the long-term selection and implementation of governance tooling (MDM, data quality monitoring, data catalog) in partnership with IT/Business Technology - leading the program first, then guiding tool selection
  • Ensure technology enables governance processes without replacing business accountability
  • Identify opportunities to improve efficiency, automation, and visibility across master data management processes

About The Pay:
  • Base Salary Range: $175,000 -$195,000 Annual
  • Annual Bonus Program
  • Equity
  • 401(k) Profit Sharing
  • Medical, Dental, Vision & More!
  • Final compensation will be determined based upon experience and skills and may vary based on location.

About You:
  • 8+ years of experience in master data management, data governance, data/process management, or related fields
  • Ability to thrive in a fast paced start up like environment
  • Proven experience leading cross-functional initiatives in complex, matrixed organizations
  • Hands-on functional SAP master data experience (e.g., vendor master, material/item master, purchasing); SAP MDG experience strongly preferred
  • Deep understanding of how master data is created, maintained, and flows across enterprise systems end-to-end - and how data quality issues manifest downstream at the store level
  • Experience defining data standards, designing data entry and validation processes, and leading large-scale data remediation efforts
  • Ability to operate as a cross-functional influencer in a complex, matrixed organization, often without direct authority
  • Proven people-leadership experience, including managing managers, with a track record of building and developing high-performing teams
  • A business-facing leader who understands operational and financial impact - functionally deep in SAP master data, but not an IT/data-engineering or coding role; strong analytical and problem-solving skills with a relentless focus on business impact
  • Retail, grocery, or consumer industry experience strongly preferred

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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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