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Data Project Manager Jobs in California (NOW HIRING)

Abaka AI is built on one mission: to be the world's most trusted data partner for AI companies. They are seeking a Project Manager who will ensure the successful delivery of data projects for leading ...

Sr. Project Manager ( Medicaid)

Sacramento, CA · On-site

$55.25 - $74.75/hr

Sacramento,CA Project Overview: The Contractor will provide advisory and analytical support ... Data Standards Management Plan The Data Standards Management Plan will include a schedule ...

We're a leading AI data company, building the layer between human expertise and frontier models ... Mercor's Data team is looking for a Project Manager to own the end-to-end execution of data ...

Data Program Manager

South San Francisco, CA · On-site

$62.25 - $84/hr

Required Qualifications * 8+ years of experience in technology program/project management , with significant experience delivering data-focused initiatives. * Strong experience managing enterprise ...

Project Manager

Mountain View, CA · On-site

$90K - $170K/yr

Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems. About the Role We're hiring a Project Manager ...

Project Manager

Mountain View, CA · On-site

$90K - $170K/yr

Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems. About the Role We're hiring a Project Manager ...

Showing results 41-60

Data Project Manager information

See California salary details

$16

$56

$79

How much do data project manager jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data project manager in California is $56.75, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $66.44 per hour, depending on experience, location, and employer.

What does a data project manager do?

A Data Project Manager oversees data-related projects, ensuring they are completed on time, within budget, and according to specified requirements. They coordinate teams of data analysts, engineers, and other stakeholders to collect, manage, and analyze data. Their responsibilities include project planning, risk management, resource allocation, and communication with clients or leadership. Data Project Managers play a crucial role in transforming raw data into actionable insights for organizations.

How does a data project manager typically collaborate with data analysts, engineers, and stakeholders during a project lifecycle?

A Data Project Manager acts as the central point of coordination between technical teams—like data analysts and engineers—and business stakeholders. They facilitate regular meetings to clarify project goals, align on deliverables, and resolve blockers swiftly. The role often involves translating business requirements into actionable tasks for the technical team, monitoring progress, and ensuring that communication flows smoothly among all parties. This collaborative approach helps ensure data projects are delivered on time and meet organizational objectives.

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

To thrive as a Data Project Manager, you need strong project management abilities, data analysis skills, and a relevant degree in business, information technology, or a related field. Familiarity with project management tools (like Jira or Asana), data visualization platforms (such as Tableau or Power BI), and certifications like PMP or Agile/Scrum are commonly required. Exceptional communication, leadership, and problem-solving skills help drive cross-functional collaboration and resolve complex project challenges. These skills are crucial for ensuring projects are delivered on time, data is leveraged effectively, and stakeholder expectations are met.

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

AspectData Project ManagerData Analyst
Required CredentialsBachelor's in Business, IT, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentOversees projects, manages teams, coordinates between stakeholdersAnalyzes data sets, creates reports, visualizations, and insights
Employer & Industry UsageUsed across industries for managing data projects in tech, finance, healthcareCommonly employed for data interpretation and reporting roles in similar industries

The Data Project Manager focuses on planning, executing, and closing data-related projects, ensuring timely delivery and stakeholder communication. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Data Project jobs in California?

The most popular types of Data Project jobs in California are:

What are popular job titles related to Data Project Manager jobs in California?

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

What cities in California are hiring for Data Project Manager jobs?

Cities in California with the most Data Project Manager job openings:

Infographic showing various Data Project Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $118,050 per year, or $56.8 per hour.

MDM Project Manager

Sunnyvale, CA • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

Full-time

Re-posted 21 days ago


Job description

Job Summary:
Syntricate Technologies is seeking an MDM Project Manager with a strong understanding of sales operations processes. The role involves leading master data projects, engaging with business stakeholders, and executing project-level activities while ensuring effective communication among teams.
Responsibilities:
• Strong understanding of sales and sales operations processes in a consumer channel sales environment (or similar).
• Proven track record of leading master data projects combined with the ability to execute at tactical project-level activities and tasks.
• Minimum 6 years managing complex, highly integrated projects.
• The ability to convert strategy into action with a solid understanding of project management approaches, tools and phases of the project lifecycle.
• An understanding of the components and considerations required when building corporate systems (e.g. key architecture components, security, scalability etc.).
• Excellent skills for data analysis in support of requirements gathering and troubleshooting/problem solving.
• Technical acumen required to effectively discuss, strategize, write test scripts, and troubleshoot technical issues.
• Experience with modeling business processes and data models etc.
• Establish credibility as trusted advisors by listening, understanding business requirements and providing options for consideration.
• The successful candidate will specialize in business stakeholder engagement and facilitation, asking probing questions that get to the real business needs (asking 'why' and not just taking requirements at face value), encouraging open communication between all parties and building cooperation amongst the various business teams.
Qualifications:
Required:
• Strong understanding of sales and sales operations processes in a consumer channel sales environment (or similar).
• Proven track record of leading master data projects combined with the ability to execute at tactical project-level activities and tasks.
• Minimum 6 years managing complex, highly integrated projects.
• The ability to convert strategy into action with a solid understanding of project management approaches, tools and phases of the project lifecycle.
• An understanding of the components and considerations required when building corporate systems (e.g. key architecture components, security, scalability etc.).
• Excellent skills for data analysis in support of requirements gathering and troubleshooting/problem solving.
• Technical acumen required to effectively discuss, strategize, write test scripts, and troubleshoot technical issues.
• Experience with modeling business processes and data models etc.
• Establish credibility as trusted advisors by listening, understanding business requirements and providing options for consideration.
• The successful candidate will specialize in business stakeholder engagement and facilitation, asking probing questions that get to the real business needs (asking 'why' and not just taking requirements at face value), encouraging open communication between all parties and building cooperation amongst the various business teams.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.