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Program Manager Data Analytics Jobs in San Ramon, CA

About the Role We are seeking a Senior Technical Program Manager to lead Sesame's data collection and annotation initiatives. In this role, you will gather data requirements from research and product ...

Technical Program Manager, Data

San Francisco, CA · On-site

$152K - $196K/yr

They are seeking a Senior Technical Program Manager to lead their data collection and annotation initiatives, ensuring the delivery of high-quality data while collaborating with research and product ...

Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data ... Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data ...

Our employee development programs help to create a workforce that is well-rounded. We are seeking a ... Collaborate with business analysts and data scientists in eliciting and articulating solution ...

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Program Manager Data Analytics information

See San Ramon, CA salary details

$43K

$120.1K

$175.5K

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

As of Jun 21, 2026, the average yearly pay for program manager data analytics in San Ramon, CA is $120,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $148,100.00 per year, depending on experience, location, and employer.

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

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

What are the key skills and qualifications needed to thrive as a Program Manager in Data Analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
What are popular job titles related to Program Manager Data Analytics jobs in San Ramon, CA? For Program Manager Data Analytics jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in San Ramon, CA look for? The top searched job categories for Program Manager Data Analytics jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Program Manager Data Analytics jobs? Cities near San Ramon, CA with the most Program Manager Data Analytics job openings:

Manager, Data & Analytics

BMO Capital Markets

San Francisco, CA • Hybrid

$74K - $138K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago


Job description

Application Deadline:

05/14/2220

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

This is a hybrid role requiring 3-4 days in the Chicago or San Fran office

Key Responsibilities:

  • Insight Generation & Strategic Analysis
    • Partner with business leaders to identify opportunities and deliver impactful insights.
    • Conduct deep-dive analyses on banking products, client behavior, and performance trends.
    • Develop executive-ready presentations that translate data into strategic recommendations.
  • Technical Excellence
    • Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data.
    • Build scalable analytical solutions and automate recurring processes.
    • Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency.
  • Cross-Functional Collaboration
    • Work closely with product, finance, and strategy teams to align analytics with business priorities.
    • Serve as a thought partner to stakeholders, helping them interpret data and make informed decisions

We are seeking a highly analytical and business-savvy Manager, Data & Analytics to join our Data & Analytics team in our San Francisco or Chicago office. This role is ideal for someone who thrives at the intersection of data and strategy-someone who is passionate about uncovering insights that drive business decisions and has deep experience in banking products and client behavior.

You'll work closely with senior business leaders, translating complex data into clear, actionable insights that influence strategy across sales, pricing, profitability, and client engagement

  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

  • Experience & Domain Knowledge
    • 5-7 years of experience in analytics, preferably within banking or financial services.
    • Strong understanding of banking products, client segmentation, and business strategy.
  • Technical Skills
    • Proficient in SQL and Python (or other programming languages with a willingness to learn Python).
    • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Communication & Influence
    • Ability to distill complex data into simple, compelling insights.
    • Comfortable presenting to senior stakeholders and influencing decisions.
  • Mindset
    • Curious, proactive, and impact-driven.
    • Strong problem-solving skills and a passion for continuous improvement

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.