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Data Leader Jobs in California (NOW HIRING)

Adobe, Inc.

Dir, Machine Learning Eng

San Jose, CA · On-site

The Opportunity We are seeking a highly motivated AI/ML and data leader to lead the evolution of a data platform organization into a world where the AI/ML innovation needs to be supported and to ...

Adobe

Dir, Machine Learning Eng

San Jose, CA

The Opportunity We are seeking a highly motivated AI/ML and data leader to lead the evolution of a data platform organization into a world where the AI/ML innovation needs to be supported and to ...

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Data Leader information

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.

What are the key skills and qualifications needed to thrive as a data leader?

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.

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 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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineering Leader, Analytics

Meta

Menlo Park, CA

$210K/yr

Full-time

Posted 26 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Ads Infra is a critical part of Meta's business, responsible for building and maintaining the Serving and Data infrastructure that powers the company's advertising products. The mission is to ensure the reliability, scalability, and efficiency of the ads platform, which includes everything from data storage and processing to ML, inference, and algorithm development.Ads Ranking & AI Infrastructure org is responsible for delivering ads across all our placements (Facebook, Instagram, Messenger, WhatsApp, etc.). The team has consistently contributed the major part of overall Meta’s revenue growth over the years. At the same time, we have been the trailblazer for Meta’s most complex recommender system, e.g., delivering the first NN recommender model and landing the first large GPU powered recommender model.Together with the Infra + Ranking DS team, the Ads Online Infra DE team supports the ML Infra team with analytics solutions that ensure data and serving infrastructure remain highly reliable and any negatively impacting issues that arise are quickly identified and mitigated. We are responsible for the entire monetization's capacity management and reliability effort.The Ads Online Infra team is directly involved in Monetization, AI, and Capacity, key company priorities. The key product area we support is Monetization Capacity. End-to-end Monetization infrastructure capacity usage, supply and demand, and efficiency footprint across CPU, GPU, and Shared Platforms.
Data Engineering Leader, Analytics Responsibilities:
  • Manage the delivery of high impact dashboards and data visualizations
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
  • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
  • Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision
  • Build a high-quality BI and Data Warehousing team and design the team to scale
  • Manage data warehouse plans across a product vertical
  • Drive the design, building, and launching of new data models and data pipelines in production
  • Drive data quality across the product vertical and related business areas
  • Define and manage SLA’s for all data sets and processes running in production

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 9+ years of experience in BI and Data Warehousing
  • Experience scaling and managing 10+ person teams
  • Experience managing managers
  • Experience leading cross-functional initiatives and communicating technical strategy to engineering and business stakeholders
  • Project management experience
  • Data architecture experience
  • Experience in SQL or similar languages
  • Development experience in at least one object-oriented language (Python, Java, etc.)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with data sets, Hadoop, and data visualization tools
  • Advanced degree
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in a consumer web or mobile company

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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