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Data Product Owner Remote Jobs in Wisconsin (NOW HIRING)

Pkaza

Scheduler Data Center Owners Rep

Milwaukee, WI · Remote

  • Medical

  • Retirement

... Owner's Representative for Design/Build Oversight of DC Colocation and Hyperscale projects. This ... Lead and mentor a team of remote consultants, supporting their development and optimizing workload

EnsoData

Product Manager - Software Medical Devices

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Comfortable working with remote teams and/or hybrid office environments. * Demonstrated qualities ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

  • Medical

  • Retirement

  • PTO

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... family-owned property and casualty insurer in the U.S. I nsurance A nswers T ogether is how we ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Monitor production data to ensure compliance with critical factors, specifications, and regulatory ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Monitor production data to ensure compliance with critical factors, specifications, and regulatory ...

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All JobsData Product Owner JobsData Product Owner Remote JobsData Product Owner Remote Jobs in Wisconsin

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 Wisconsin?

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

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

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

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

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

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

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

Data Product Owner Remote jobs near you

Product Development Chemist - AI Trainer - Remote

micro1 AI

Green Bay, WI • Remote

$70 - $90/hr

Part-time

Posted 19 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

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