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Data Product Owner Remote Jobs in California (NOW HIRING)

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products * Collaborate with ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting. This position is open to remote or hybrid. ESSENTIAL FUNCTIONS ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting. This position is open to remote or hybrid. ESSENTIAL FUNCTIONS ...

Cypress HCM

Product Quality Evaluator

Sunnyvale, CA · On-site +1

$49.21 - $61.78/hr

Product Quality Evaluator Overview * We are the world's largest professional network, built to help ... This role offers both hybrid and remote work options. This means you can work from home and commute ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

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All JobsData Product Owner JobsData Product Owner Remote JobsData Product Owner Remote Jobs in California

Data Product Owner Remote information

What does a data product owner do when working remotely?

A Data Product Owner working remotely is responsible for defining the vision and requirements of data-related products or solutions. They act as the main point of contact between stakeholders, data engineering teams, and business units, ensuring that data products align with business goals. Their duties include prioritizing features, managing the product backlog, and making decisions about data product development. Remote Data Product Owners use digital collaboration tools to communicate, coordinate projects, and monitor progress from a distance.

What are some common challenges faced by remote data product owners, and how can they overcome them?

Remote Data Product Owners often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication of data requirements, and maintaining alignment on project goals. To overcome these obstacles, it's important to establish regular virtual check-ins, use collaborative tools for documentation and feedback, and foster transparent communication channels. Being proactive in stakeholder engagement and setting clear expectations can also help ensure that data products are delivered effectively and meet business needs.

What are the key skills and qualifications needed to thrive as a remote data product owner, and why are they important?

To thrive as a Data Product Owner (Remote), you need a solid understanding of data analytics, product management, and business strategy, often supported by a relevant degree and experience in agile environments. Familiarity with data visualization tools (like Tableau or Power BI), product management platforms (such as Jira or Trello), and sometimes certifications like Certified Scrum Product Owner (CSPO) are typically expected. Exceptional communication, stakeholder management, and problem-solving skills help drive alignment and deliver value in distributed teams. These competencies are crucial for translating business goals into actionable data solutions and ensuring successful, user-focused product outcomes.

What is the difference between Data Product Owner Remote vs Data Analyst Remote?

AspectData Product Owner RemoteData Analyst Remote
Required CredentialsTypically requires a background in data management, product management, or related certifications like CBIP or PMPOften requires a degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentCollaborates with cross-functional teams, manages product lifecycle, and prioritizes data initiatives remotelyAnalyzes data sets, creates reports, and provides insights, often working independently or with teams remotely
Employer & Industry UsageUsed in tech, finance, healthcare industries for managing data products remotelyCommon across various industries for data analysis roles in remote settings

The main difference is that a Data Product Owner Remote focuses on managing data products and aligning them with business goals, while a Data Analyst Remote primarily analyzes data to generate insights. Both roles are often remote, but their responsibilities and required skills differ significantly.

What are the most commonly searched types of Data Product Owner jobs in California?

The most popular types of Data Product Owner jobs in California are:

What are popular job titles related to Data Product Owner Remote jobs in California?

For Data Product Owner Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Product Owner Remote jobs in California look for?

The top searched job categories for Data Product Owner Remote jobs in California are:

What cities in California are hiring for Data Product Owner Remote jobs?

Cities in California with the most Data Product Owner Remote job openings:

Data Product Owner Remote jobs near you

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Company Description
The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in it's innovative feature set that includes live video speed dating.
Job Description
The data analyst role is part of the analytics team, will report to the Head of Data Science. S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product's marketing funnel: acquisition, activation, engagement, and retention. Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.
Responsibilities:
  • Directly own the creation of key company metrics used to track aggregate company OKR performance
  • Conduct quarterly prioritized analysis projects targeted at revenue and user growth
  • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly
  • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics
  • Work with product managers and engineers to design data products and run A/B experiments
  • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.
  • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates.
  • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League's matching algorithm
  • Work towards creating a data-driven culture at The League
  • Understand what matters most and prioritize ruthlessly

Qualifications
  • Bachelors' in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field
  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis
  • Expertise in at least one programming language useful for statistical analysis (e.g. python/R)
  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others
  • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions
  • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams

Nice to haves:
  • Prior experience in Gaming or Dating industry
  • Knowledgeable about the machine learning trade-offs and model evaluation

Additional Information
All your information will be kept confidential according to EEO guidelines.
TO APPLY
  • Submit your resume to jobs [at] theleague.com with the job position title as the subject line

COMPENSATION
  • Competitive/above average for the industry

Apply