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Program Manager Data Analytics Jobs in San Ramon, CA

KEY RESPONSIBILITIES Data Extraction & Management * Extract, consolidate, and validate data from ... Support development of standardized data structures for reporting and analytics Dashboard ...

Technical Architect - Data, Analytics & AI

Antioch, CA · Hybrid

$73.50 - $94.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

Technical Architect - Data, Analytics & AI

Concord, CA · Hybrid

$69.75 - $89.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

KEY RESPONSIBILITIES Data Extraction & Management * Extract, consolidate, and validate data from ... Analyze production, quality, and maintenance data to identify trends and inefficiencies * Support ...

Senior Program Manager

Dublin, CA · On-site

$81.25 - $107.21/hr

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

Senior Program Manager

Dublin, CA · On-site

$81.25 - $107.21/hr

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

Senior Program Manager

Dublin, CA · On-site

$81.25 - $107.21/hr

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

Senior Program Manager

Dublin, CA · On-site

$81.25 - $107.21/hr

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

This role applies strong program management, data analysis, and reporting skills to develop insights, manage budgets, track performance, and address variances. The position requires clear ...

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Showing results 1-20

Program Manager Data Analytics information

See San Ramon, CA salary details

$43K

$120.1K

$175.5K

How much do program manager data analytics jobs pay per year?

As of Jun 21, 2026, the average yearly pay for program manager data analytics in San Ramon, CA is $120,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $148,100.00 per year, depending on experience, location, and employer.

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

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
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Sr. Program Manager, Data for Good

Sr. Program Manager, Data for Good

Databricks

San Francisco, CA

Other

Posted 28 days ago


Job description

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks' social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity's most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you'll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

  • Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
  • Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
  • Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
  • Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
  • Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
  • Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
  • Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
  • Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.
The impact you will have
  • Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
  • Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
  • Build durable partnerships that align Databricks' strengths with real-world societal needs.
  • Inspire employees, customers, and students to contribute their skills toward meaningful causes.
  • Influence how Databricks technologies are used, taught, and evolved for public good.
  • Help define what "data and AI for good" looks like at enterprise scale.
What we look for
  • 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
  • Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
  • Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
  • High-level technical understanding of Databricks' product-market fit, enabling robust direction of partnerships and engagement selection.
  • Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
  • Demonstrated ability to convene communities and stakeholders across sectors and geographies.
  • High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
  • A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.