Lead AI & Data Platform Product Owner

Eaton

Raleigh (NC)

On-site

USD 146,000 - 215,000

Full time

5 days ago
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Job summary

Eaton is seeking an IT Data Platform Product Owner to maximize the value of AI and Data Platform products, creating and prioritizing roadmaps and managing the backlog. You will oversee Snowflake, Dataiku, Coalesce, Palantir, and data ingestion tools, defining the product vision and communicating it across stakeholders to deliver measurable business outcomes.

Responsibilities include governance, data quality, security, and collaboration with AI, data analytics teams, and platform consumers to

Qualifications

  • Bachelor’s degree or higher.
  • Minimum six (6) years of experience in product ownership, project management, or related leadership on technology projects.

Responsibilities

  • Define and communicate product vision, roadmap, and strategy for AI & data platforms and ingestion services.
  • Own product backlog, prioritize user stories, and decompose epics into features.
  • Plan, manage, and track product demand including licensing costs.
  • Develop personas and customer journeys for data engineers, analysts, and data science users.
  • Collaborate with stakeholders to define business outcomes and KPIs; ensure alignment with strategic objectives.
  • Guide product development lifecycle and establish governance, security, and data quality practices.

Skills

Product ownership
Stakeholder collaboration
AI & data platforms
Agile & Scrum
Jira familiarity
Vendor management
Communication skills
Travel readiness

Education

Bachelor’s degree

Tools

Snowflake
Dataiku
Coalesce
Palantir Foundry

Job description

Eaton is seeking an IT Data Platform Product Owner to maximize the value of AI and Data Platform products, creating and prioritizing roadmaps and managing the backlog. You will oversee Snowflake, Dataiku, Coalesce, Palantir, and data ingestion tools, defining the product vision and communicating it across stakeholders to deliver measurable business outcomes.

Responsibilities include governance, data quality, security, and collaboration with AI, data analytics teams, and platform consumers to

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