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Data Project Manager Jobs in California (NOW HIRING)

Abaka AI

Project Manager

Mountain View, CA · On-site

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 ...

IS3

Project Manager ( Data Center )

Santa Clara, CA · On-site

$141K/yr

Technical Project Manager I to support the planning, coordination, and execution of mission critical data center projects. This role will partner with senior Technical Program Managers and cross ...

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All JobsData Project JobsData Project Manager JobsData Project Manager Jobs in California

Data Project Manager information

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$16

$56

$79

How much do data project manager jobs pay per hour?

As of Jul 14, 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.

Can I make 100k as a project manager?

Data Project Managers can earn $100,000 or more annually, especially with experience, certifications like PMP, and in high-demand industries or regions. Salary varies based on location, company size, and project complexity, with senior roles and specialized skills increasing earning potential.

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 are the 4 types of project managers?

In project management, four common types of project managers are functional, projectized, matrix, and hybrid. Functional managers work within specific departments, while projectized managers lead projects independently. Matrix managers balance both functional and project responsibilities, and hybrid combines elements of these approaches to suit organizational needs.

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's the highest paid project manager?

The highest paid project managers are often in industries like IT, finance, and engineering, with salaries exceeding $150,000 annually in some regions. Senior project managers with extensive experience, certifications such as PMP, and expertise in complex projects tend to earn the highest compensation.

What do data project managers do?

Data project managers oversee data-related projects by coordinating teams, defining project scope, setting timelines, and ensuring deliverables meet business objectives. They often use project management tools and require knowledge of data analysis and databases to facilitate effective communication between technical and non-technical stakeholders.
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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,050 per year, or $56.8 per hour.
Project Leader/ Manager - AI & Data (1250)

Project Leader/ Manager - AI & Data (1250)

Axtria, Inc.

Thousand Oaks, CA • On-site

$98K - $136K/yr

Full-time

Re-posted 22 days ago

Job description

Introduction

Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.  We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute.  Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Description:

We are looking for a Project Lead / Manager for our AI & Data practice. Success in this position requires managing data solution projects (both consulting and delivery) based on Real World Data (RWD), Commercial Ops, Marketing, and Market Access data sets for reporting and analytical use cases.

Candidates will be expected to have extensive experience and deep understanding in the Life Sciences and Biopharma domain, across data sets and its usages such as:

  • Hands-on experience building GenAI /Agentic AI solutions including RAG pipelines, prompt engineering and agentic workflows using frameworks like LangChain or LangGraph. Pharma use cases will be added bonus
  • Syndicated commercial pharma datasets across Claims, Retail Sales, Non-retail Sales, Trade data, Specialty Pharmacy (SP/SD), Hub, Formulary, Co-pay, Prescriber-Plan data, EMR/EHR, Diagnostic data, Shipment, Inventory, Non-personal Promotion data, Speaker Programs, Email Campaigns, Digital Data (HCP Portal, Patient Portal, Brand websites, Third-party website), Conferences etc.
  • Internal commercial pharma datasets across CRM (Activity, Call Plan etc.), Sales Ops (Roaster, Alignment, Incentive Compensation etc.), Forecast etc.
  • Strong functional and domain understanding of internal and external commercial pharma datasets, how to integrate these data sets across internal and external sources and apply associated business and transformation rules and make them ready for downstream business insights and analytics applications.

Responsibilities will include:

  • Leading global teams to deliver programs for Commercial Data Management and Analytics solutions for Life Sciences clients.
  • Work with multiple small and medium biopharmaceuticals to deliver end-to-end data and analytics programs.
  • Directly work with senior Client and Axtria stakeholders in a highly consultative and responsive manner, to deliver high-quality and high-impact data management solutions to business problems around analytical use cases.
  • Support in developing data science competencies and resources for the customer by enabling access to big data sets (sourced within and outside the organization) using a combination of open source, cloud and other tools and techniques for data analytics, machine learning, mining, and visualization.
  • Engage with client stakeholders to understand their business problems, their data/technical landscape & recommend data driven solutions. Then work with clients to gather requirements, contribute to solution design, lead implementation, alignment of solution to client needs and customer satisfaction.
  • Manage projects ensuring exceptional quality, timely delivery, and client satisfaction.
  • Strong project and program management experience.
  • Develop detailed project plans, tailored to project’s goals, objective, and scope.
  • Identify challenges, risks surrounding project scope, deliverables and effectively create a plan to effectively mitigate and communicate to all stakeholders.
  • Responsible for coordinating, conduct & manage requirements workshops, SIT, business UAT, feedback sessions, deliverable readouts with client’s business and IT teams.
  • Identify opportunities for process improvements & efficiencies, lead their implementation & show it’s benefits to involved stakeholders.
  • Be ready, willing & capable to do hands-on work, as needed, and to guide teams toward strong approaches to data pipelines, reporting and so on.
  • Deliver projects within global delivery model leveraging virtual teams in different time zones
  • Develop and maintain skills to the highest standards consistent with best practices and emerging trends in data engineering and analytical use cases.
  • Responsibility to ensure that the overall data & analytics solution meets client needs, is robust and best-in-class.
  • Contribute to Axtria’s development of new solutions and analytical models.
  • Recruit, manage and mentor a team of data engineers/managers/consultants/analysts.

  Required skills and experience:

  • A degree in Engineering, Computer Science with 5-8 years of prior relevant work experience in leading data engineering teams. A graduate degree is a must.
  • Knowledge of the Lifesciences domain. Prior experience in data engineering, data warehousing, data lakes, data hub related projects based on pharma data sets is a must.
  • Strong working knowledge of commercial pharma data sets.
  • Strong quantitative and analytical skills.
  • Appreciation of key technical concepts across- AWS stack (S3, Glacier, Athena etc.), DataBricks, dBT, Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Spark, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica) etc.
  • Excellent spoken and written communication skills, including superior visualization, storyboarding, and presentation skills.
  • Familiarity with Analytical Workbenches such as R, Alteryx, Dataiku, KNIME, AWS Sage maker etc. will be a big plus.
  • Ability to communicate actionable analytical findings to a technical or non-technical audience in clear and concise language.
  • Ability to lead project teams and own project delivery.

Pay Transparency Laws 
Salary range or hourly pay range for the position 
The salary range for this position is $98,250 to $136,500 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. 
The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. 

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