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Data Leader Jobs in California (NOW HIRING)

Adobe

Dir, Machine Learning Eng

San Jose, CA · On-site

They are seeking a highly motivated AI/ML and data leader to enhance their data platform organization and drive AI/ML innovation within the Adobe Experience Platform. Responsibilities : • Lead a ...

DoorDash

Engineering Manager, Data

San Francisco, CA · On-site

You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams * You are a technology leader. You drive the technical and strategic vision for ...

REVOLVE

Data Scientist

Cerritos, CA · On-site

$90K - $120K/yr

Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects * Conduct complex analysis and build models to uncover key learning ...

Apple

Sr. Data Science Leader - iCloud

Cupertino, CA · On-site

$83 - $111/hr

We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes ...

Apple

Sr. Data Science Leader - iCloud

Cupertino, CA

$267K - $401K/yr

We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes ...

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

Collaborate with Doximity's Data Leadership team to ensure alignment and success across the entire Data Organization. * Manage individual Data Engineers to foster learning, growth and success at ...

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

Collaborate with Doximity's Data Leadership team to ensure alignment and success across the entire Data Organization. * Manage individual Data Engineers to foster learning, growth and success at ...

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Data Leader information

What jobs pay 500,000 a year in the US?

In the US, high-level executive roles such as CEOs, CFOs, and other C-suite executives often earn $500,000 or more annually. Additionally, specialized roles like senior investment bankers, certain medical specialists, and successful entrepreneurs can reach or exceed this income level, especially with bonuses, stock options, or profit sharing. For a Data Leader, top executive positions in large corporations or successful tech companies may also offer compensation in this range, often tied to company performance and requiring extensive experience and leadership skills.

What is the difference between Data Leader vs Data Analyst?

AspectData Leader
ResponsibilitiesStrategic data management, setting data vision, leading data teams
Skills & CertificationsData strategy, leadership, advanced analytics, often with certifications like CDMP or DAMA
Work EnvironmentExecutive-level, cross-departmental collaboration, senior management
FocusHigh-level data governance, business impact, long-term data strategy

While a Data Leader focuses on strategic oversight, governance, and leading data initiatives at an organizational level, a Data Analyst primarily handles data analysis, reporting, and supporting decision-making through data insights. Both roles require strong analytical skills, but the Data Leader emphasizes leadership and strategy, whereas the Data Analyst concentrates on technical analysis and data interpretation.

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

To thrive as a Data Leader, you need expertise in data analytics, data management, and strategy, often backed by an advanced degree in a quantitative field and experience in data-centric roles. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and cloud data systems is typically required. Strong leadership, communication, and stakeholder management skills help drive organizational alignment and data-driven decision-making. These competencies are crucial for shaping effective data strategies, ensuring data quality, and delivering business value through insights.

What is a Data Leader?

A Data Leader is a senior professional responsible for developing and implementing an organization’s data strategy, ensuring that data assets are effectively managed and leveraged to drive business value. They oversee data governance, data quality, analytics initiatives, and often manage teams of data scientists, engineers, and analysts. Data Leaders play a key role in shaping data-driven decision-making, aligning data projects with business objectives, and ensuring compliance with data regulations. Their work helps organizations unlock insights from data, improve operations, and gain a competitive advantage.

Is 40 too late for data science?

For a Data Leader or anyone pursuing a data science career, age is generally not a barrier. Success depends more on skills, experience, and continuous learning, such as mastering tools like Python or SQL, than on age. Many professionals transition into data roles later in their careers and find success through relevant certifications and practical experience.

What jobs pay 200,000 a year in the USA?

For a Data Leader or senior data executive roles, annual salaries of $200,000 or more are common, especially in large organizations or tech companies. These positions often require extensive experience, advanced skills in data strategy, analytics, and leadership, and may include roles such as Chief Data Officer or Vice President of Data. Compensation can also be influenced by industry, location, and the complexity of data initiatives.

What jobs in the US pay 300,000 a year?

Data Leaders, such as Chief Data Officers or senior data executives, can earn $300,000 or more annually, especially in large organizations or industries like finance, technology, and consulting. These roles typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

How do Data Leaders typically balance strategic oversight with hands-on involvement in data projects?

Data Leaders often face the challenge of balancing high-level strategy with direct involvement in data initiatives. While their primary responsibility is to set the vision for data governance, analytics, and architecture, they also need to stay engaged with teams to ensure alignment and remove obstacles. This often means participating in key project meetings, reviewing major deliverables, and facilitating communication between technical and business stakeholders. Effective Data Leaders delegate operational tasks but remain accessible for critical decision-making and mentorship, fostering both team autonomy and strategic coherence.
What are popular job titles related to Data Leader jobs in California? For Data Leader jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Leader jobs in California look for? The top searched job categories for Data Leader jobs in California are:
What cities in California are hiring for Data Leader jobs? Cities in California with the most Data Leader job openings:
Data Leader jobs near you
Infographic showing various Data Leader job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Science Leader

Data Science Leader

Tiger Analytics Inc.

California City, CA • On-site

Full-time

Posted 19 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a Senior Manager / Associate Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.
Responsibilities:
  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements
  • 12 - 15 years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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