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Director Data Jobs in San Ramon, CA (NOW HIRING)

Meta

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your ...

Gilead

Director, Master Data Management

Foster City, CA · On-site

Reporting to the VP, Global Supply Chain , and part of the larger Pharmaceutical Development and Manufacturing organization (PDM), the Director, Supply Chain Master Data Management will lead a team ...

Mace

Data Centre Director

San Francisco, CA · Hybrid

Provides input to the Data Strategy and owns the translation of this strategy into a clear roadmap of delivery projects. * Responsible for organisation wide data improvement activities, mobilising ...

New

Exelixis

Clinical Data Management Director

Alameda, CA · On-site

The Clinical Data Management (CDM) Director is a highly experienced and influential leader with expert knowledge of Clinical Data Management concepts and processes. This position is accountable for ...

Albert Invent

Director of Data Products

Oakland, CA · On-site

We are looking for an ambitious and results-driven Director of Data Products to join our growing team. This role, with a focus on defining and building Albert's data products portfolio, will play a ...

Albert Invent

Director of Data Products

Oakland, CA · On-site

$140 - $180/hr

We are looking for an ambitious and results-driven Director of Data Products to join our growing team. This role, with a focus on defining and building Albert's data products portfolio, will play a ...

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All JobsData JobsDirector Data JobsDirector Data Jobs in San Ramon, CA

Director Data information

See San Ramon, CA salary details

$58.1K

$143.6K

$223.5K

How much do director data jobs pay per year?

As of Jul 17, 2026, the average yearly pay for director data in San Ramon, CA is $143,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $182,700.00 per year, depending on experience, location, and employer.

What does a Director of Data do?

A Director of Data oversees an organization's data strategy, ensuring the effective collection, management, and use of data across departments. They lead data teams, set data governance policies, and work to align data initiatives with business goals. Their role includes managing data architecture, ensuring data quality and security, and supporting data-driven decision making. Directors of Data often collaborate with executives and IT teams to drive innovation and improve business outcomes through analytics and data insights.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

How does a Director of Data typically collaborate with other departments to drive business objectives?

A Director of Data regularly partners with teams such as marketing, product, finance, and operations to ensure data-driven decision-making across the organization. They help translate business goals into data initiatives, oversee the collection and analysis of relevant data, and present actionable insights to stakeholders. Strong cross-functional collaboration is essential, as the Director often leads data governance initiatives and aligns data strategy with company-wide objectives. This role requires both technical expertise and effective communication skills to bridge gaps between technical teams and non-technical departments.

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

To thrive as a Director of Data, you need deep expertise in data management, analytics, and strategy, supported by an advanced degree in a quantitative field and substantial leadership experience. Proficiency with data platforms (such as SQL, Hadoop, and cloud services), data governance frameworks, and often certifications like CDMP or cloud certifications is expected. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These skills ensure effective data-driven decision-making, alignment with business goals, and successful leadership of cross-functional data teams.
What are the most commonly searched types of Data jobs in San Ramon, CA? The most popular types of Data jobs in San Ramon, CA are:
What job categories do people searching Director Data jobs in San Ramon, CA look for? The top searched job categories for Director Data jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Director Data jobs? Cities near San Ramon, CA with the most Director Data job openings:
Director Data jobs near you
Technical Director - Data Science (Discovery)

Technical Director - Data Science (Discovery)

Roblox

San Mateo, CA • Hybrid

Other

Posted 10 days ago

Job description

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES?

We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders (individual contributors with a large span of influence), you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges.

This role will report directly into the Senior Director of Data Science (Consumer) and will be based at our headquarters in San Mateo, CA (hybrid, onsite days Tues-Thurs).

You Will:
  • Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
  • Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
  • Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
  • Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
  • Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
  • Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
You Have:
  • Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
  • 10+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Ability to apply creative first-principles reasoning to solve ambiguous problems
  • Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content

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