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Senior Manager Data Analytics Jobs in California

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

This role will deliver scalable analytics, AI-driven insights, and data science solutions that ... The Senior Manager will act as an internal data consultant to Consumer Payments business partners ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

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 ...

RWE

Data Analytics Lead

Oakland, CA · On-site

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

ServiceTitan

Senior Manager, Data Strategy

Glendale, CA · On-site +1

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 ...

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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 Aug 10, 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 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.

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.

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:
Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $127,389 per year, or $61.2 per hour.

Sr. Manager, Data Science

Visa

Foster City, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
Visa's Global Data and AI team is seeking a Senior Manager to join the Consumer Payments Strategic Analytics team as a hands-on individual contributor supporting the Global Consumer Payments business. This role will deliver scalable analytics, AI-driven insights, and data science solutions that inform product strategy, enhance performance, and support innovation for internal Visa business teams.
The Senior Manager will act as an internal data consultant to Consumer Payments business partners, working closely with Product, Marketing, Finance, Technology, and other cross-functional teams. The role will focus on translating business questions into analytical approaches, extracting insights from large-scale Visa data, building repeatable tools and models, and communicating clear recommendations that help internal teams make data-driven decisions.
Key Responsibilities:
  • Lead, execute, and deliver data science and strategic analytics projects that support Visa's internal Consumer Payments business priorities and align with Visa's long-term growth agenda.
  • Partner with internal business teams to understand strategic questions, define project scope, select appropriate methodologies, and deliver actionable analytical solutions.
  • Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate insights, build models, and identify business opportunities.
  • Develop predictive, descriptive, and diagnostic analytics solutions, including segmentation, propensity modeling, performance measurement, forecasting, and portfolio analysis.
  • Build scalable dashboards, reporting tools, and self-service analytics capabilities that support data democratization, single-source-of-truth principles, and a clear front door for internal business users.
  • Apply AI, machine learning, generative AI, and agentic AI techniques to improve analytics delivery, automate repeatable workflows, and unlock new business insights.
  • Design, prototype, and deploy analytical models and data products in collaboration with data engineering, technology, and platform teams.
  • Maintain strong quality control, documentation, code standards, and reproducibility across analytical deliverables.
  • Translate complex data analysis into executive-ready insights, clear narratives, and practical recommendations for internal stakeholders.
  • Identify market, product, customer, and portfolio trends through deep analysis of payments industry data and internal business performance.
  • Collaborate across Product, Marketing, Finance, Technology, and other relevant functions to embed data and AI into decision-making.
  • Contribute to thought leadership by identifying new analytical methods, reusable frameworks, and innovative approaches that strengthen Consumer Payments Data and Analytics capabilities.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications:
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • 6+ years of analytics, data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ years with a PhD.
  • Excellent programming skills in Python and SQL, with hands-on experience using large-scale data environments such as Spark, Hive, Hadoop, or similar platforms.
  • Strong practical experience with AI/ML, including generative AI, LLMs, and AI-assisted development tools such as Claude Code, GitHub Copilot, OpenAI Codex, or similar platforms.
  • Experience with agentic AI concepts and frameworks such as LangGraph, LangChain, or comparable orchestration tools.
  • Ability to build predictive and descriptive models, perform data mining and statistical modeling, and apply appropriate analytical methodologies to solve business problems.
    Experience developing visual insights, dashboards, and reporting solutions using tools such as Tableau, Power BI, or similar business intelligence platforms.
  • Strong ability to translate data-driven analysis into business impact, including excellent storytelling, presentation, and executive communication skills.
  • Proven track record of delivering analytics projects from scoping through execution, quality control, stakeholder communication, and implementation support.
  • Strong stakeholder management skills and demonstrated ability to work effectively with internal business teams in cross-functional and global environments.
  • Deep understanding of Visa's business, consumer payments, issuer and merchant analytics, and the broader payments ecosystem.
  • Experience with cloud-based data platforms, MLOps practices, model deployment, and reusable analytical frameworks.
  • Prior experience in financial services, payments, fintech, consulting, or internal business analytics is a plus.
  • Highly organized, results-oriented, and comfortable working in a fast-paced environment with multiple priorities and internal stakeholders.

U.S. Applicants Only
The estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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