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

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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.

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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 Sep 5, 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 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.

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 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.

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

Senior Director, Data

Traveltechessentialist

San Francisco, CA • On-site

$194 - $432/hr

Other

Posted 10 days ago

Key responsibilities

  • Define and execute the enterprise data, AI data readiness, and analytics strategy aligned with business objectives.

  • Oversee the end-to-end lifecycle of machine learning models, predictive analytics, and feature store infrastructure.

  • Oversee modern data engineering, architectural design, and reliable ETL/ELT pipelines for batch and real-time processing.

Job description

Position Overview

As our Senior Director of Data, you will serve as the strategic visionary and executive engine powering our company’s data transformation. In this high-impact leadership role, you will redefine how we leverage information by driving enterprise data strategy, pioneering AI data readiness, commanding end-to-end pipeline engineering, and unlocking competitive advantages through cutting-edge predictive analytics. You will champion, build, and inspire a world-class team across data engineering, analytics, and data science, scaling modern infrastructure, deploying production-grade ML models, and relentlessly embedding a fearless, evidence-based, data-driven culture across every level of the organization.

Key Responsibilities 1. Strategy & Organizational Data Leadership
  • Define and execute the enterprise data, AI data readiness, and analytics strategy aligned with business objectives.
  • Champion a data-driven culture across departments by elevating data literacy and self-service analytics.
  • Build, mentor, and lead high-performing teams of data engineers, data scientists, and analysts.
2. AI Readiness & Data Science Leadership
  • Drive the AI data strategy, ensuring data is curated, labeled, and optimized for ML/AI model development and deployment.
  • Oversee the end-to-end lifecycle of machine learning models, predictive analytics, and feature store infrastructure.
  • Collaborate with business partners to identify high-impact AI/ML opportunities that drive strategic value.
3. Pipeline Engineering & Infrastructure
  • Oversee modern data engineering, architectural design, and reliable ETL/ELT pipelines for batch and real-time processing.
  • Architect scalable data warehouses, data lakes, and modern data stack operations (MLOps).
4. Governance, Analytics & Reporting
  • Establish governance policies to ensure high data quality, security, and global regulatory compliance (e.g., GDPR, CCPA).
  • Deliver key executive dashboards, visualizations, and A/B testing frameworks to measure operational KPIs.
Qualifications
  • Experience: 10+ years of progressive leadership experience across data engineering, analytics, and data science.
  • Leadership: Proven track record of managing data engineering and ML teams while fostering a data-driven organizational culture.
  • Technical Mastery: Strong hands-on knowledge of Python, SQL, modern ETL tools, cloud data warehouses, and major ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Architecture & Pipelines: Deep expertise in pipeline design, streaming data architectures, MLOps, and feature store management.
  • Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field.
  • Communication: Excellent capability to translate complex technical concepts into clear strategic insights for non-technical stakeholders.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range

$194,400 — $432,000 USD

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

  • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

About Navan

Navan (Nasdaq: NAVN) is the global AI-powered business travel and expense platform that makes travel easy for frequent travelers. From finding flights and hotels, to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See

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