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Data Product Owner Remote Jobs (NOW HIRING)

$148K - $195K/yr

Senior Product Owner / Product Manager - Poker Location: Remote (Global) Type: Full-time About the ... Analyze player behavior, data, and feedback to guide iteration and continuous improvement.

Product Owner Remote (CST/EST only) C2H Only W2 Key Technology : software development, healthcare field Job Responsibilities: The Product Owner role is a strategic, foundational role in client's Core ...

#W2 Role Job Title - Product Owner Remote Role Role Overview We are seeking a Senior Product Owner to lead the discovery and delivery of a custom-built Order Management System (OMS) for Costco. This ...

They are seeking a technically minded Product Owner to support a team responsible for developing APIs and transactional capabilities for their banking platform, acting as the liaison between business ...

Description Background and Opportunity The Product Owner role, an exempt and remote position, at MSI Data is the ideal opportunity for an experienced, talented, and ambitious software industry ...

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Data Product Owner Remote information

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$41.5K

$112.9K

$164.5K

How much do data product owner remote jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data product owner remote in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Product Owner (Remote), 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 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 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.
More about Data Product Owner Remote jobs
What cities are hiring for Data Product Owner Remote jobs? Cities with the most Data Product Owner Remote job openings:
What are the most commonly searched types of Data Product Owner jobs? The most popular types of Data Product Owner jobs are:
What states have the most Data Product Owner Remote jobs? States with the most job openings for Data Product Owner Remote jobs include:
Informatica Product Owner - Remote

Informatica Product Owner - Remote

The Jackson Laboratory

Bar Harbor, ME • Remote

$49.50 - $65.25/hr

Full-time

Posted 21 days ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

26th of 103 rated laboratories


Job description

Informatica Product Owner - Remote

The Informatica Administrator is a senior, enterprise technology role responsible for the administration, governance, stability, and continuous optimization of the organization's Informatica data integration and data management platforms. This includes Informatica Intelligent Data Management Cloud (IDMC/IICS), PowerCenter, Enterprise Data Catalog (EDC/CDGC), Axon Data Governance, Informatica MDM, Data Quality (IDQ), and associated Secure Agents and connectivity components. While aligned to the Informatica technology stack, the role operates at a high level and follows standardized expectations used consistently across all senior platform administrator roles. The Senior Informatica Administrator partners with data engineering, data governance, analytics, business leaders, platform owners, security, and infrastructure teams to ensure Informatica platforms are reliable, secure, scalable, and aligned with enterprise data strategy and organizational objectives.

Key Responsibilities:

  • Provide strategic oversight and operational leadership for the Informatica platform estate, ensuring alignment with enterprise data strategy, architectural standards, and data governance frameworks.
  • Establish and maintain Informatica governance practices, including development standards, naming conventions, folder/project structures, deployment policies, code promotion workflows, and operational guardrails.
  • Partner with data platform owners, data product owners, and business stakeholders to prioritize Informatica enhancements, connector adoption, and capacity expansion.
  • Contribute to the Informatica roadmap in collaboration with data engineering, enterprise architecture, and business leaders.
  • Oversee administration of all Informatica environments, including domain/org configuration, Secure Agent management, runtime environment setup, user and role provisioning, connector and connection management, and integration with source and target systems.
  • Ensure consistent management of dev, test, and production environments, including repository management, object migration, deployment coordination via CI/CD, and release readiness.
  • Lead Informatica upgrade, hotfix, patching, EBF application, and release validation activities across PowerCenter, IDMC pods, and on-premises Secure Agents.
  • Monitor platform health, job performance, session/taskflow execution, and reliability using Operational Insights, Monitor, and third-party observability tools.
  • Enforce Informatica security standards, including IAM (SAML/SSO, SCIM), role-based access control, secure connection credentials, key/secret management, and data masking/encryption policies.
  • Partner with security, data privacy, and infrastructure teams to ensure compliance with regulatory requirements.
  • Oversee incident response, root cause analysis, and remediation for Informatica-related issues.
  • Serve as a senior escalation point for Informatica platform issues, balancing operational stability with business priorities.
  • Maintain strong relationships with data engineering, analytics, and business stakeholders, providing clear communication on platform status, job SLAs, risks, and change windows.
  • Guide adoption, enablement, and best practices for Informatica developers and citizen integrators.
  • Manage the relationship with Informatica and associated service providers, including support case escalation, GCS engagement, roadmap alignment, and product advisory participation.
  • Support business case development, cost-benefit analysis, and ROI evaluation for Informatica investments, including IPU consumption forecasting and license optimization.
  • Provide technical leadership, mentoring, and guidance to Informatica administrators, ETL/ELT developers, and support teams.
  • Define operational standards, runbooks, documentation practices, and knowledge transfer processes to strengthen platform maturity.
  • Stay current on Informatica product capabilities, IDMC releases, CLAIRE-powered AI features, and industry trends.
  • Other duties as assigned.

Knowledge, Skills, and Abilities:

  • Deep expertise in Informatica platform administration (IDMC/IICS, PowerCenter, EDC, MDM, IDQ, Axon).
  • Strong knowledge of data integration patterns: batch, real-time, CDC, and API-based.
  • Proficiency with relational and cloud data platforms (Oracle, SQL Server, Snowflake, Databricks, Redshift, BigQuery).
  • Analytical and problem-solving skills, including performance tuning, session log analysis, pushdown optimization, and Secure Agent diagnostics.
  • Knowledge of enterprise security standards: SAML/SSO, SCIM, RBAC, encryption, and data masking.
  • Familiarity with CI/CD pipelines, Git integration, and DataOps practices for Informatica.
  • Working knowledge of scripting (Shell, Python, PowerShell), SQL tuning, and cloud platforms (AWS, Azure, GCP).
  • Strong communication skills - able to translate complex technical concepts for business and executive audiences.
  • Ability to lead cross-functional collaboration with data engineering, security, governance, analytics, and business stakeholders.
  • 7+ years in enterprise data integration, with at least 4 years hands-on Informatica administration (IDMC/IICS or PowerCenter).
  • Bachelor's degree in information technology, Computer Science, Information Systems, or a related field required.

Pay Range: $98,885 - $165,554

#CA-EH8

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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