Analytics Director Jobs in California
Analytics Director jobs in California are among the most active in the country, with strong demand in technology, entertainment, financial services, and healthcare, and openings ranging from senior manager-level roles to C-suite-adjacent positions. The heaviest hiring concentrates in San Francisco, Los Angeles, and San Diego, where companies like Google, Disney, and Kaiser Permanente maintain large analytics organizations. The most sought-after specialties in California right now are product analytics, marketing analytics, and data science leadership. Find a role that fits below and apply directly.
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About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
See All 73 Analytics Director Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Analytics Director JobsAnalytics Director Jobs by City in California
Where California roles are concentrated, by current openings.
Analytics Director Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Biotechnology & Pharmaceuticals
- Education
- Media & Entertainment
- Banking & Financial Services
What California Employers Look For
The qualifications that appear most often in analytics director jobs across California.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Seven or more years of progressive analytics experience with at least three in a leadership role
- Proficiency in SQL, Python, or R alongside business intelligence platforms such as Tableau or Looker
- Demonstrated ability to translate data insights into strategic recommendations for executive stakeholders
- Experience managing cross-functional analytics teams and building data governance frameworks
- Familiarity with California Consumer Privacy Act compliance as it applies to data collection and use
Analytics Director Jobs in California: Frequently Asked Questions
How do you become a analytics director in California?
Most analytics directors in California follow a path that starts with a bachelor's degree in a quantitative field such as statistics, mathematics, or computer science, often supplemented by a master's in data science or business analytics. From there, candidates build experience as analysts or data scientists before moving into management. California employers, especially in tech and healthcare, respond well to candidates who combine hands-on technical skills with demonstrated team leadership and a record of driving business decisions through data.
How much do analytics directors make in California?
Analytics directors in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics directors in California?
Employers hiring analytics directors in California right now include Revolution Medicines, DoorDash, and Gilead Sciences, based on current listings on Migrate Mate as of September 2026. California's concentration of technology headquarters, major entertainment studios, and large integrated health systems means demand is distributed across multiple high-profile industries rather than a single sector.
Which California cities have the most analytics director jobs?
San Francisco, San Diego, and Foster City have the most analytics director openings in California. The San Francisco Bay Area leads because of its density of technology and financial services headquarters, while Los Angeles draws heavily from entertainment, media, and e-commerce companies, and San Diego's strong biotech and life sciences cluster generates consistent demand for analytics leadership.
Are there remote analytics director jobs in California?
Yes, and more than most fields. About 57% of analytics director openings tied to California are remote or hybrid as of September 2026, reflecting the desk-based and collaborative nature of the work. Strategic planning, reporting, and team management functions tend to be the most amenable to fully remote arrangements, while roles requiring close collaboration with product or engineering teams more often follow a hybrid model.
How can I get hired as a analytics director in California with little or no experience?
The most realistic entry path is moving into a senior individual-contributor analytics role first, such as a lead analyst or analytics manager, and building toward director-level responsibility from there. California's large technology companies and health systems like UC Health and Dignity Health often post rotational or associate leadership programs that develop junior managers. Building a portfolio of end-to-end projects, earning a recognized certification in a platform like Tableau or Google Cloud, and gaining experience presenting findings to non-technical stakeholders will accelerate the move into director-level hiring pools.
Where can I find and apply to analytics director jobs in California?
You can find and apply to analytics director jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your background and apply directly to the ones that match.
See All 73 Analytics Director Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Analytics Director Jobs