Remote Principal Data Product Owner - AI-Driven Data

Red Hat, LLC; Raleigh (NC); On-site; USD 126,000 - 180,000; Full time

Job summary

Red Hat seeks a Product Owner for the contact data domain to maximize business value from data assets. This telecommuting role can be performed anywhere in the United States, focusing on roadmaps, governance, and data standards to ensure data is ready for downstream systems.

You will drive AI/ML-driven automation for quality and standardization, collaborate with analysts and data scientists, and ensure data accessibility across platforms like Marketo and Salesforce.

Qualifications

• Bachelor's degree in a related field plus 5 years of experience.
• Experience as a business and technical lead for end-to-end data product lifecycles.
• Strong SQL skills for data extraction and analytics.
• Ability to translate complex data findings into actionable strategies.
• Experience enabling data enrichment and data management across platforms.

Responsibilities

• Define the strategic roadmap and success metrics for the contact domain data products.
• Govern global contact data standards and policies for downstream systems.
• Implement AI/ML-driven automation to improve data quality and standardization.
• Consult data consumers on data sources and definitions for use cases.
• Collaborate across functions to manage data acquisition, enrichment and integrations.
• Maintain accuracy and completeness through monitoring, validation and reporting.

Skills

SQL

Data strategy

Communication

Data governance

End-to-end data product

Education

Bachelor's degree in Data Analytics/Data Science/Business Administration

Tools

Marketo

Salesforce.com

Data visualization tools

Data pipelines

Job description

Red Hat seeks a Product Owner for the contact data domain to maximize business value from data assets. This telecommuting role can be performed anywhere in the United States, focusing on roadmaps, governance, and data standards to ensure data is ready for downstream systems.

You will drive AI/ML-driven automation for quality and standardization, collaborate with analysts and data scientists, and ensure data accessibility across platforms like Marketo and Salesforce.