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Senior Manager Data Analytics Jobs in California

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS ... This is an exciting role for someone to leverage their Analytical, Engineering, and Management ...

Senior Manager, Data Engineering

Belmont, CA ยท On-site

$190 - $232/hr

We are looking for a Senior Manager of Data Engineering to lead a team of data engineers, from ... Partner with Finance, Revenue Operations, and Analytics to translate business requirements into ...

We are looking for a Senior Manager of Data Engineering to lead a team of data engineers, from ... Partner with Finance, Revenue Operations, and Analytics to translate business requirements into ...

As our Senior Manager, Data Strategy, you will: * Define , prioritize, and deliver the strategy ... analytics, and data-driven decision making are available to the business. * Ensure tools used are ...

As our Senior Manager, Data Strategy, you will: * Define , prioritize, and deliver the strategy ... analytics, and data-driven decision making are available to the business. * Ensure tools used are ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine ...

(USA) Senior Manager, Data Science

Hayward, CA ยท On-site

$143K - $286K/yr

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine ...

(USA) Senior Manager, Data Science

San Jose, CA ยท On-site

$143K - $286K/yr

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy complex models that drive strategic business decisions. This role requires expertise in machine ...

Showing results 41-60

Senior Manager Data Analytics information

See California salary details

$44.6K

$127.4K

$204.4K

How much do senior manager data analytics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior manager data analytics in California is $127,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $145,700.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in California?

For Senior Manager Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in California look for?

The top searched job categories for Senior Manager Data Analytics jobs in California are:

What cities in California are hiring for Senior Manager Data Analytics jobs?

Cities in California with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in California as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,389 per year, or $61.2 per hour.

Senior Manager, Data Science

SoFi

San Francisco, CA โ€ข On-site

Full-time

Re-posted 28 days ago


Job description

Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi's ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact.
You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards.
You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.
What you'll do:
  • Manage a team of Data Scientists supporting SoFi's Checking and Savings, Invest, Credit Card, Protect, and Lantern businesses
  • Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives
  • Set high standards for quality and on-time delivery.
  • Recruit, grow, and retain top talent
  • Ensure that the team is operating in an agile and efficient manner
  • Stay up-to-date on the latest AI/ML technologies
  • Identify high impact business opportunities to help members achieve their financial goals
  • Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
  • Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders
  • Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions

What you'll need:
  • Bachelor's Degree in a technical field
  • 7+ years of Data Science or Software Engineering experience
  • 3+ years management experience
  • Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
  • Experience with using Airflow and DBT to build Data Pipelines in Snowflake
  • Strong programming skills in SQL and Python
  • Experience with building data visualizations with Tableau, Looker or other BI tools
  • Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
  • Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
  • Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
  • Strong relationship building and collaborative skills;
  • Exceptional problem-solving

Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.