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Data Manager Jobs in Berkeley, CA (NOW HIRING)

The Manager, Data Management is responsible for establishing and operationalizing a firm-wide data management program that drives measurableimprovements in data quality, ownership, and accountability ...

Data Strategy-Manager

San Francisco, CA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

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Data Manager information

See Berkeley, CA salary details

$38K

$118.9K

$210.6K

How much do data manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data manager in Berkeley, CA is $118,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $153,700.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.

What are the most commonly searched types of Data jobs in Berkeley, CA?

The most popular types of Data jobs in Berkeley, CA are:

What are popular job titles related to Data Manager jobs in Berkeley, CA?

For Data Manager jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Data Manager jobs in Berkeley, CA look for?

The top searched job categories for Data Manager jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Data Manager jobs?

Cities near Berkeley, CA with the most Data Manager job openings:

Infographic showing various Data Manager job openings in Berkeley, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $118,948 per year, or $57.2 per hour.

Other

Posted 4 days ago


Job description

Data Manager
San Francisco, CA 94105 (*This role will be 90% remote but the managers preference is to have local candidates only*)
3 Months
Required Qualifications
Education
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • Master''s degree preferred.
Experience:
  • 8+ years of experience managing complex technology or data-driven projects.
  • 5+ years leading enterprise data platform implementations.
  • Experience delivering projects involving:
  • Snowflake
  • Palantir Foundry
  • Ataccama
  • Data Engineering and Data Management solutions
  • Proven success managing cross-functional technical teams.
  • Experience working within Agile and Waterfall delivery frameworks.
Required Technical Skills
Data Platforms
  • Palantir Foundry
  • Snowflake
  • Ataccama
  • Cloud Data Platforms (AWS, Azure, or Google Cloud Platform)
Data Engineering
  • ETL/ELT development
  • Data warehouse and lakehouse architectures
  • Data pipeline orchestration
  • Data integration frameworks
  • SQL and data modeling concepts
Data Governance & Quality
  • Master Data Management (MDM)
  • Data Quality Management
  • Metadata Management
  • Data Governance Frameworks
  • Data Lineage and Cataloging
  • Project Management
Agile/Scrum
  • Jira, Azure DevOps, or similar tools
  • Program planning and governance
  • Budget and resource management
  • Risk and dependency management
Preferred Qualifications
  • PMP, PgMP, Scrum Master, SAFe Agilist, or equivalent certification.
  • Experience with enterprise utility, energy, healthcare, financial services, or large-scale regulated industries.
  • Knowledge of data privacy and compliance frameworks.
  • Experience with DevOps and DataOps practices.
  • Familiarity with AI/ML enablement through enterprise data platforms.