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Data Operations Director Jobs in San Rafael, CA (NOW HIRING)

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... The work you do here will have a noticeable and direct impact on the development of the company.

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

The Opportunity As Director, Data Science , you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work-powering agentic ...

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All JobsData Operations JobsData Operations Director JobsData Operations Director Jobs in San Rafael, CA

Data Operations Director information

See San Rafael, CA salary details

$58K

$143.3K

$222.9K

How much do data operations director jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data operations director in San Rafael, CA is $143,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $182,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

What job categories do people searching Data Operations Director jobs in San Rafael, CA look for? The top searched job categories for Data Operations Director jobs in San Rafael, CA are:
What cities near San Rafael, CA are hiring for Data Operations Director jobs? Cities near San Rafael, CA with the most Data Operations Director job openings:
Data Operations Director jobs near you

Operations Data Scientist - Strategic Operations

Zipline

South San Francisco, CA • On-site

Full-time

Posted 7 days ago

Job description

About Zipline

Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About the Role

As an Operations Data Scientist, you will develop the predictive models, optimization algorithms, and analytical frameworks that drive operational decision-making across our global network.

You will work at the intersection of data science, operations research, logistics, and business strategy to improve network performance, forecast demand, optimize resource allocation, and identify opportunities to scale efficiently.

This role is ideal for someone who enjoys solving real-world operational problems with advanced analytics and building models that directly influence business outcomes.

What You'll Do

  • Develop forecasting models for operational demand, capacity, labor requirements, inventory, and network utilization.
  • Build optimization models that improve resource allocation, staffing, maintenance planning, and operational efficiency.
  • Design and analyze experiments to evaluate operational initiatives and process changes.
  • Create predictive models that identify operational risks, bottlenecks, quality issues, and reliability trends.
  • Develop simulation models to evaluate network expansion scenarios and operational strategies.
  • Partner with Operations, Engineering, Product, Supply Chain, and Finance teams to guide strategic decisions.
  • Build production-ready analytical tools and data products used by operational teams.
  • Establish advanced operational metrics and measurement frameworks.
  • Communicate complex analytical findings to technical and non-technical stakeholders.
  • Support long-term planning through scenario analysis and decision modeling.

Required Qualifications

  • 3–7 years of experience in Data Science, Operations Research, Analytics, Applied Statistics, Industrial Engineering, or a related field.
  • Strong proficiency in Python.
  • Advanced SQL skills.
  • Experience with machine learning, statistical modeling, forecasting, and experimentation.
  • Experience with optimization techniques such as linear programming, mixed-integer optimization, simulation, or network modeling.
  • Strong knowledge of statistical inference and experimental design.
  • Experience building analytical solutions that influence operational decisions.
  • Ability to explain complex technical concepts to business stakeholders.

Preferred Qualifications

  • Experience in logistics, transportation, aviation, robotics, autonomous systems, manufacturing, or supply chain operations.
  • Experience deploying models into production environments.
  • Experience with cloud data platforms and modern data stacks.
  • Familiarity with geospatial analytics and network optimization.
  • Master's or PhD in Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related disciplines.

Example Problems You'll Solve

  • How many technicians will be required at each site over the next 12 months?
  • What maintenance strategy minimizes downtime while controlling cost?
  • How should inventory be positioned across the network to maximize service levels?
  • Which operational variables best predict delays, failures, or quality issues?
  • Where should future sites be launched to maximize network efficiency?
  • What is the optimal staffing model for a rapidly scaling operation?

Success Metrics

  • Forecast accuracy.
  • Measurable operational cost savings.
  • Capacity utilization improvements.
  • Reduction in operational disruptions.
  • Adoption of predictive and optimization tools by operational teams.
  • Strategic decisions influenced by analytical recommendations.

What Else You Need to Know

The starting cash range for this role is $140,000-$210,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.