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Data Project Manager Jobs in California (NOW HIRING)

Mercor

Project Manager, Delivery Team

San Francisco, CA · On-site

$130K - $180K/yr

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 ...

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Data Project Manager information

See California salary details

$16

$56

$79

How much do data project manager jobs pay per hour?

As of Aug 8, 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.

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 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 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.

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 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 job categories do people searching Data Project Manager jobs in California look for? The top searched job categories for Data Project Manager jobs in California are:
What cities in California are hiring for Data Project Manager jobs? Cities in California with the most Data Project Manager job openings:
Data Project Manager jobs near you
Infographic showing various Data Project Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,050 per year, or $56.8 per hour.

Strategic Projects Lead - Audio Data

Success Matcher Recruitment

Redwood City, CA • Hybrid

$140K - $160K/yr

Full-time

Posted 21 days ago

Job description

About the Company

Our client is building the foundational data and benchmark infrastructure for next-generation Voice AI, helping frontier AI labs train models to understand humanity across every language, dialect, and accent.

Backed by Y Combinator and over $3.5M in seed funding from top-tier Silicon Valley investors (including surgepoint, Amino Capital, and co-founders of Twitch and Cruise), they operate as a lean, elite team of ~10 scaling rapidly in the Bay Area.

About the Role

As the Strategic Projects Lead - Audio Data, you will own and deliver high-priority audio data collection projects end-to-end. In this high-ownership, ground-floor role, you will be the single-threaded owner of large-scale, six-figure+ contracts, driving messy and complex projects from customer kickoff through to final, high-quality delivery.

What You Will Do

  • Project Delivery: Manage complex audio data collection projects, overseeing contributor sourcing, engagement, quality assurance, and client communication.
  • Quantitative Operations: Track project progress and KPIs quantitatively. You will build dashboards, analyze throughput/quality data, and proactively solve operational bottlenecks.
  • Client Interface: Work directly with leading frontier AI labs to clarify requirements, deliver progress updates, and iterate based on their feedback.
  • Product Collaboration: Propose and drive technical and product changes with the engineering team to improve platform capabilities, contributor workflows, and QA tooling.
  • Resource Management: Hire and manage external QA resources as needed, collaborating directly with the co-founders and engineers to unblock delivery.

What You Bring

  • Experience: 2 to 7 years of data operations experience specifically on the supply side at a data annotation/labeling vendor company (e.g., Scale AI, Surge AI, Appen, Micro1, TELUS Digital, DataAnnotation, or a similar AI data startup).
  • Track Record: Proven success delivering six-figure+ data collection or annotation contracts end-to-end.
  • Technical Domain: Direct experience managing audio, speech, voice, or multimodal data projects.
  • Analytical Chops: Strong analytical skills with the ability to build dashboards and use data to solve quantitative operational problems.
  • QA Design: Quality workflow design experience, including creating annotation guidelines, QA rubrics, and quality control systems.
  • Mindset: Extreme ownership, resilience in the face of ambiguity, and a habit of pushing through obstacles to deliver results.
  • Presence: Ability to work full-time on-site (5 days/week) in the San Mateo/Redwood City, CA area.