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Data Program Manager Jobs in California (NOW HIRING)

INSPYR Solutions

Data Center Program Manager

Menlo Park, CA · On-site

$142K/yr

About the Role We are seeking a highly skilled Program Manager with proven Data Center Network Deployment experience. In this role, you will support critical projects and initiatives within our ...

Systems Planning and Analysis

Program Manager

San Diego, CA · On-site

$190K - $230K/yr

... data driven analytic insights, systems engineering, strategies and plans that address current and ... SPA is seeking a Program Manager to lead critical Navy work in San Diego. #MC Responsibilities The ...

Community Partners, Inc.

Program Manager

Los Angeles, CA · On-site +1

$80K - $92K/yr

Program Manger Reports to: Program Director Anticipated Hiring Range: $80,000 - $92,000/ Annually ... Using narrative, reflection, and data to foster learning and inspire systems change With the ...

Community Partners

Program Manager

Los Angeles, CA · On-site

$80K - $92K/yr

Program Manger Reports to: Program Director Anticipated Hiring Range: $80,000 - $92,000/ Annually ... Using narrative, reflection, and data to foster learning and inspire systems change With the ...

Community Partners

Program Manager

Los Angeles, CA · On-site +1

$80K - $92K/yr

Program Manger Reports to: Program Director Anticipated Hiring Range: $80,000 - $92,000/ Annually ... Using narrative, reflection, and data to foster learning and inspire systems change With the ...

Lorven Technologies

Program Manager

Foster City, CA · On-site

Program Manager Foster City, CA / Hybrid (3D onsite per week) Full-Time / Direct Hire Seeking a ... processes, clinical data flows, and regulatory expectations • Excellent communication and ...

TeleSolv Consulting

Program Manager

Port Hueneme, CA · On-site

$95K - $120K/yr

Port Hueneme, CA Compensation: $95,000 - $120,000 / year Description The Program Manager will oversee the administration and performance of a complex maintenance data environment supporting inactive ...

Gexpro Services

Program Manager

Brea, CA · On-site

$76K - $80K/yr

Program Manager Benefits: Gexpro Services offers a comprehensive benefits package that includes ... Review customer forecast and usage through data analysis to show current trends and predict future ...

Brilliant Corners

Program Manager

Sacramento, CA · On-site

$80K/yr

The Program Manager will work closely with the FHP Director to scale the program and meet the ... Work alongside Brilliant Corners' support teams (Finance, Data & Technology, and People Operations ...

Brilliant Corners

Program Manager

Sacramento, CA · On-site

$80K/yr

The Program Manager will work closely with the FHP Director to scale the program and meet the ... Work alongside Brilliant Corners' support teams (Finance, Data & Technology, and People Operations ...

Brilliant Corners

Program Manager

Sacramento, CA · On-site

$80K/yr

The Program Manager will work closely with the FHP Director to scale the program and meet the ... Work alongside Brilliant Corners' support teams (Finance, Data & Technology, and People Operations ...

SAIC

Program Manager

El Segundo, CA · Hybrid

$120K - $160K/yr

SAFE / Agile Certification. • Experience with Finance/Cost Management to include the following: o Knowledge of Integrated Program Management Data and Reports (IPMDAR) formats, which include but not ...

Cogent IBS, Inc

Program Manager

Palo Alto, CA · On-site

Program Manager Location: Palo Alto CA(4 days Onsite) This role owns the end-to-end IT M&A ... Data models, data flows, integrations, and data quality. . Security posture, identity and access ...

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All JobsData Program JobsData Program Manager JobsData Program Manager Jobs in California

Data Program Manager information

See California salary details

$30.6K

$95.9K

$169.7K

How much do data program manager jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data program manager in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What is a Data Program Manager?

A Data Program Manager is responsible for overseeing and coordinating data-related projects and initiatives within an organization. They manage teams, set project goals, allocate resources, and ensure that data strategies align with business objectives. Their role often involves working closely with data engineers, analysts, and stakeholders to ensure data quality, compliance, and effective use of data assets. Data Program Managers also monitor project progress, address risks, and ensure the successful delivery of data programs on time and within budget.

What are the top 3 skills of a program manager?

A program manager needs strong leadership and communication skills to coordinate teams and stakeholders effectively. They should also have excellent organizational and project management abilities, often utilizing tools like MS Project or Jira. Analytical thinking and problem-solving are essential for managing complex projects and ensuring successful delivery.

What is the average salary for a programme manager?

The average salary for a program manager varies by industry and experience but typically ranges from $70,000 to $130,000 annually. In the context of a Data Program Manager, salaries often increase with technical skills, certifications, and the complexity of data projects managed.

What is the salary of a data manager?

The salary of a Data Program Manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data governance, analytics tools, or certifications may earn higher compensation.

What are some common challenges Data Program Managers face when coordinating cross-functional data projects?

Data Program Managers often encounter challenges such as aligning priorities across different teams, ensuring data quality and consistency, and managing dependencies between technical and business stakeholders. Effective communication and stakeholder management are essential, as projects typically involve collaboration among data engineers, analysts, product managers, and executives. Balancing the need for timely delivery with rigorous data governance standards is another key challenge, requiring strong organizational and problem-solving skills.

What degree do you need to be a data manager?

A Data Program Manager typically holds at least a bachelor's degree in fields such as data science, computer science, information technology, or related areas. Many employers prefer candidates with a master's degree or higher, along with experience in data analysis, project management, and familiarity with tools like SQL, Python, or data visualization software.

What are the key skills and qualifications needed to thrive as a Data Program Manager, and why are they important?

To thrive as a Data Program Manager, you need expertise in data analytics, program management, and a solid understanding of data governance, typically backed by a degree in computer science, information systems, or a related field. Familiarity with project management tools (such as Jira or Asana), data visualization platforms (like Tableau or Power BI), and relevant certifications (e.g., PMP, Agile, or data management certifications) is often expected. Excellent communication, leadership, and stakeholder management skills help drive cross-functional collaboration and align data initiatives with business goals. These competencies are crucial for successfully delivering data-driven projects, ensuring data integrity, and maximizing organizational value from data assets.

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

AspectData Program ManagerData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Business, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; often no formal certifications required
Work EnvironmentOversees multiple projects, manages teams, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare for managing data initiativesCommon across industries for data insights and reporting

The Data Program Manager focuses on overseeing data projects and managing teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong data skills, but the Program Manager has a broader scope involving project management and strategic planning.

What are popular job titles related to Data Program Manager jobs in California? For Data Program Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Program Manager jobs in California look for? The top searched job categories for Data Program Manager jobs in California are:
What cities in California are hiring for Data Program Manager jobs? Cities in California with the most Data Program Manager job openings:
Data Program Manager jobs near you
Technical Program Manager, Dataset Operations

Technical Program Manager, Dataset Operations

Nvidia

Santa Clara, CA

$151K - $196K/yr

Full-time

Re-posted 25 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We are looking for a Technical Program Manager (TPM) to lead the end-to-end management of large-scale, multi-modal datasets that power next-generation Physical AI systems. This role will focus heavily on vendor-sourced data pipelines, ensuring data quality, compliance, scalability, and alignment with research and product goals.

You will operate at the intersection of research, engineering, data vendors, and legal/compliance, driving execution across complex, high-stakes data programs.

What You'll Be Doing:

Dataset & Vendor Program Management

  • Own the lifecycle of large-scale datasets across modalities:

    • Ego-centric video (AR/VR, human interaction)

    • Robotics data (manipulation, embodied AI)

    • Autonomous driving data (multi-sensor, multi-agent)

  • Manage external data vendors end-to-end:

    • Scope definition, onboarding, and contracting

    • Data specification and annotation guidelines

    • Delivery tracking, quality control, and iteration loops

  • Establish scalable processes for multi-vendor coordination

Data Quality & Specification

  • Translate research and model requirements into clear, enforceable data specs

  • Define and track data quality metrics (coverage, diversity, labeling accuracy, temporal consistency)

  • Drive continuous improvement via structured feedback loops with vendors

Cross-Functional Execution

  • Partner with:

    • Research teams (to understand evolving model needs)

    • Engineering teams (data pipelines, storage, tooling)

    • Legal/compliance (data usage rights, privacy, licensing)

  • Align dataset strategy with model training and product timelines

Scaling Data Systems

  • Build frameworks for:

    • Dataset versioning and traceability

    • Vendor performance benchmarking

    • Cost vs. quality optimization

  • Drive automation where possible, but maintain strong operational rigor

What we need to see:

  • 5+ years of experience as a TPM, Product Ops, or similar role in AI/ML or data-intensive systems and Masters degree (or equivalent experience)

  • Proven experience managing external vendors or large-scale data programs

  • Strong understanding of ML data pipelines and dataset lifecycle

  • Ability to operate in ambiguous, fast-moving research environments

  • Familiarity with one or more:

    • Computer vision / video datasets

    • Robotics / embodied AI data

    • Autonomous driving datasets

  • Understanding of:

    • Annotation workflows

    • Data quality evaluation

    • Dataset biases and coverage challenges

  • Strong program structuring skills (clear specs, milestones, tracking)

  • Ability to convert high-level goals into concrete execution plans

  • Comfortable working across research, engineering, and external partner

Ways to stand out from the crowd:

  • Experience with multi-modal datasets (video, sensor, action data)

  • Background in robotics, self-driving, or AR/VR

  • Experience building vendor ecosystems from scratch

  • Familiarity with data compliance (GDPR, privacy, licensing constraints)

Why This Role Matters:

High-quality data is the foundation of Physical AI. As models evolve toward world understanding and action, dataset complexity increases dramatically. This role is critical to ensuring that we can reliably acquire, manage, and scale the data needed to train next-generation systems.

At NVIDIA, we believe the next generation of AI will be physical AI - systems that perceive, reason, and act in the real world. Building these models requires building robust systems that span across large-scale compute, multimodal datasets, simulation driven synthetic data, and real-time reasoning for robots and autonomous systems. Our Cosmos team sits at the heart of this mission. We build the systems that make it possible to train Cosmos, NVIDIA's world foundation model for physical AI. Cosmos enables large-scale AI models for robots, autonomous agents, and AI systems to understand, plan, and act in complex environments.

Please join us and be part of the forefront of developing physical AI, general-purpose robots and large-scale foundation models!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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