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Program Manager Data Analytics Jobs in California

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 ...

Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer ... Status Exempt General Summary The Data Analytics Manager is responsible for defining, leading, and ...

Ensure accurate data collection, validation, and reporting for quality programs while partnering ... Code, section 472 & 473) Keyword: manager, data, analytics From: Chapa-De

You may also be eligible to participate in a discretionary annual incentive program, subject to the ... We're looking for an experienced data and analytics professional with management experience and a ...

Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer ... Status Exempt General Summary The Data Analytics Manager is responsible for defining, leading, and ...

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Program Manager Data Analytics information

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.

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.

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.

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.

What are popular job titles related to Program Manager Data Analytics jobs in California? For Program Manager Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in California look for? The top searched job categories for Program Manager Data Analytics jobs in California are:
What cities in California are hiring for Program Manager Data Analytics jobs? Cities in California with the most Program Manager Data Analytics job openings:
Technical Program Manager, Data

Technical Program Manager, Data

Sesame

San Francisco, CA • On-site

$200K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
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 teams, prioritize projects, identify and manage internal or external resources, and ensure the delivery of high-quality data.
Responsibilities:
  • Lead audio data collection and annotation efforts at Sesame.
  • Collaborate with research and product teams to understand and formalize their requirements.
  • Identify and manage internal resources and/or external vendors to complete data tasks.
  • Ensure the delivery of high-quality work.
  • Work closely with tooling engineers to support data-related tasks.
  • Oversee data acquisition processes.

Required Qualifications:
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience working with machine learning researchers and engineers.
  • Proven experience leading data labeling projects.
  • Experience managing full-time employees or contractors involved in data labeling.
  • Expertise in writing technical specifications for data annotation pipelines.

Preferred Qualifications:
  • Understanding of ML data pipelines and their applications.
  • Experience working with LLMs.
  • Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.