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

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage. AngelList sits in a rare position. We support $171B in assets across 25,000+ funds and syndicates, with ...

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage. AngelList sits in a rare position. We support $171B in assets across 25,000+ funds and syndicates, with ...

Head of Data

San Francisco, CA · On-site

$230K - $275K/yr

About the role As the Head of Data, you'll lead and grow our Product Analytics and Data Engineering teams, by driving the strategy and roadmap for reporting, data-powered insights, and experimental ...

Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data to lead and evolve our growing team of Data Scientists, Data Engineers, and Data Analysts - an ...

Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data to lead and evolve our growing team of Data Scientists, Data Engineers, and Data Analysts - an ...

Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data to lead and evolve our growing team of Data Scientists, Data Engineers, and Data Analysts - an ...

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our ...

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our ...

New

Summary AugmentED, an AERDF-supported AI and education initiative, seeks a Head of Data + AI to lead the strategy and technical foundations that power our research and products. You'll build the ...

Head of Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

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 ...

Head of Data - Finance

San Francisco, CA · On-site

$274K - $417K/yr

This role reports to the Global Head of Data Science, and places you inside Finance - partnering with FP&A, Accounting, Tax and Investor Relations - to lead the data science and analytics capability ...

New

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 ...

Head of Data Engineering

San Francisco, CA · On-site

$238.50 - $311.38/hr

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 ...

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 ...

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 ...

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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.

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.

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 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 are popular job titles related to Head Of Data jobs in San Ramon, CA? For Head Of Data jobs in San Ramon, CA, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Head of Data

AngelList

San Francisco, CA • On-site

Full-time

Re-posted 12 days ago


Job description

Why Join AngelList 

We're solving some of the hardest problems in venture capital and private markets. You'll work with a team that values precision, urgency, and long-term thinking. If you want to shape how startups are funded and built, this is the place.

About AngelList

We exist to accelerate innovation by increasing the number of successful startups in the world. We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies.

AngelList is the nexus of venture capital and the startup community. We support $171B+ in assets and have powered investments into over 13,000 startups-over 300 of which are unicorns. Today, 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambition is larger.

If you're excited to build the future of private markets, come build with us.


About the Role

We're hiring a Head of Data to turn AngelList's data into an unfair advantage.

AngelList sits in a rare position. We support $171B in assets across 25,000+ funds and syndicates, with $80B+ moved across our banking infrastructure. 80% of the top 10 2025 Midas List VCs invest in funds on AngelList. Our network spans 2,300+ GPs and 72,000+ LPs, the largest in private markets, and we have over a decade of venture fund transaction data underneath it. We've reached $100M+ ARR with essentially zero marketing spend and we're ready to invest. The business is unusual: a marketplace, an investing platform, a banking partner, and a software + services business, all reinforcing each other. The data implications are extraordinary, and most of the interesting questions are still unanswered.

Those questions are the work. How do the business units actually compound on each other? What's the right attribution model when one product introduces a customer to another? What does incrementality look like when our channels are dominated by network and reputation rather than paid acquisition? What's the LTV of a fund manager vs. an LP vs. a banking customer, and how should that change where we invest?

Our data team spent the last year earning trust in the numbers: Snowflake live, pipelines reliable, a shared source of truth. That foundation is mostly there. What we want next is the layer on top: attribution we trust, incrementality we can measure, segmentations and forecasts that change how we invest, experimentation as default. You'll lead a small, senior team of three to start, and personally do a meaningful share of the work and shaping of the team. For a growth-focused data scientist ready to do both, there aren't many roles like it.

Responsibilities
  • Decision science. Own attribution, incrementality, LTV / CAC, customer segmentation, forecasting, and experimentation across our business units. Set the methodologies, defend them, and improve them as we learn.
  • Flywheel measurement. Build the analytical view of how our businesses (admin, Carry, Ark, Meridian) reinforce each other, where the flywheel is real, where it's aspirational, and what investments accelerate it.
  • Experimentation. Make running good experiments the default for product, marketing, and growth, with the infrastructure and review process to back it up.
  • The data platform. Inherit a working platform with real gaps. Decide which gaps to fill, which to accept, and how to keep investing so the foundation grows with the demands you're putting on it.
  • The team. Three people today, a mix of data engineering and analytics. Grow it deliberately. We expect early hires to be data scientists who reflect the bar you set, not headcount for its own sake.
  • Executive partnership. Be a thought partner to the CFO, CEO, and the GMs, in the room for capital allocation and GTM decisions, not summarizing them afterward.
What We're Looking For
  • 8+ years in data science, decision science, or growth analytics, including hands-on practitioner work. At least 2 years leading teams.
  • Deep expertise in some combination of attribution, causal inference, experimentation, LTV / CAC, segmentation, forecasting, and marketplace measurement. Demonstrated, not aspirational.
  • Strong Python and SQL. You've built models recently enough to still be opinionated about how to build them.
  • Track record of changing executive decisions through analysis. You can point to specific calls you helped get right, and ones you got wrong, and what you learned.
  • Exceptional written communication. We expect to read what you write and act on it.
  • Maturity with the platform layer. You don't have to be the deepest data engineer in the room, but you have to make good architectural calls and respect the work of the engineers on your team.
  • A genuine appetite for being a player-coach. If your career goal is to never write SQL again, this is the wrong role.
  • Marketplace, fintech, or financial services background is a bonus, not a requirement.
Working Here

If you don't meet every requirement above, we still encourage you to apply. We value complementary strengths and operators who learn by doing.

AngelList has offices in a few cities, New York City and San Francisco. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). 
Compensation:
The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $250,000+ annually but actual will vary based on a number of factors including a candidate's professional background, experience, and location. Full details about our Total Rewards package will be provided during the recruitment process.

Benefits:
We support your life both in and outside of work.
Explore our benefits
Learn about Funders & Founders

What Guides Us:
At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we'd love to have you with us.
Our beliefs
Our values & leadership expectations

AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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