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Head Of Data Jobs in San Ramon, CA (NOW HIRING)

Responsibilities Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to ...

Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their ...

David AI is an innovative company focused on transforming raw audio into high-signal data for leading AI labs and enterprises. As the Head of Engineering, you will lead the engineering team in ...

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Head Of Data information

What does a head of data do?

A Head of Data is responsible for overseeing an organization's data strategy, including data governance, management, analytics, and security. They lead teams that collect, process, and analyze data to support business decision-making and drive growth. This role often involves collaborating with other departments to ensure data is utilized effectively and aligns with the company's objectives. Additionally, the Head of Data may set policies around data quality, compliance, and privacy, ensuring the organization meets regulatory requirements.

How does the head of data typically collaborate with other departments to drive data-driven decision making?

The Head of Data works closely with leaders from various departments—such as product, marketing, and operations—to identify business challenges and opportunities that can be addressed through data insights. They facilitate cross-functional meetings, translate business objectives into data strategies, and ensure that analytics and reporting align with organizational goals. Frequent collaboration also involves educating stakeholders on data literacy and advocating for best practices in data governance, ultimately fostering a culture where data informs key decisions.

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

To thrive as a Head Of Data, you need deep expertise in data architecture, analytics, and strategy, usually supported by an advanced degree in a quantitative field and experience in data leadership roles. Proficiency with big data platforms (such as Hadoop or Spark), data visualization tools (like Tableau or Power BI), and knowledge of data governance frameworks are essential, with certifications in data management or cloud services (e.g., AWS, Azure) being advantageous. Strong leadership, communication, and stakeholder management skills help drive data initiatives and foster cross-functional collaboration. These skills are crucial for aligning data strategy with business goals, ensuring data quality, and empowering data-driven decision-making across the organization.

What is the difference between Head Of Data vs Data Analyst?

AspectHead Of DataData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's in relevant field; certifications like SQL, Excel, or Tableau beneficial
Work EnvironmentStrategic leadership, overseeing data teams, setting data strategyAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data teams across industriesCommon across industries for data-driven roles

The Head Of Data focuses on leading data strategy and managing data teams, while Data Analysts primarily analyze data and generate insights. Both roles require strong analytical skills, but the Head Of Data has a broader leadership and strategic responsibility.

What job categories do people searching Head Of Data jobs in San Ramon, CA look for?

The top searched job categories for Head Of Data jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Head Of Data jobs?

Cities near San Ramon, CA with the most Head Of Data job openings:

Infographic showing various Head Of Data job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Head of Data Engineering

Atlassian

San Francisco, CA • On-site, Remote

Other

Re-posted 2 days ago


Job description

Overview
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities
Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions.
Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power GTM(Marketing and Sales )strategy and important decisions across the organization . We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
As the data domain specialist, you will partner with IT, data platform, product engineering, GTM Stakeholders ,analytics teams and data scientists to support multiple programs.
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $238,500 - $311,375
Zone B: $214,650 - $280,238
Zone C: $197,955 - $258,441
Qualifications
  • 15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products
  • 10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies
  • 10+ Years of experience delivering data and analytics solutions for product teams
  • Product sense with an understanding of product drivers and of how to guide value using data across the organization
  • Demonstrated experience developing influential relationships and trust with senior leaders across different departments
  • Prior experience partnering with Analytics , Data Science, Engineering and Product Management teams.
  • Prior Experience in Martech (tools and tech) and Sales tech.
  • Have led as Subject matter expert across Marketing, Sales and Tech domains, partnering and effectively translating stakeholders needs into data products that enables data driven decision making.
  • Experience building Microservices and RESTful APIs
  • Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage
  • Experience with BI tools like Tableau, Amplitude, and Redash
  • A graduate degree in Computer Science or a similar subject area

It's great but not required if you have:
  • Experience working for SAAS companies
  • Experience with Machine Learning
  • Committed code to open source projects

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.