AI & Data Product Owner
About The Position
Eaton’s Corporate Sector is hiring an AI & Data Product Owner to maximize the value of its AI and data platform products. The role oversees Snowflake, Dataiku, Coalesce, Palantir, and data acquisition and ingestion products that support business outcomes and foundational organizational capabilities. The Product Owner sets and communicates product vision, develops and maintains roadmaps, manages backlogs and demand, and establishes operational processes for product programs and enhancements. Working with business stakeholders, customers, AI, data and analytics teams, platform consumers, and technical leaders, the Product Owner defines deliverables aligned with strategic objectives and represents the voice of the customer throughout the product lifecycle. The role also tracks product funding and platform consumption and licensing costs, sets work priorities, and balances feature development with continuous improvement, platform health, support, governance, and technical and operational debt. The position requires up to 10% travel and is limited to candidates within a 50-mile radius of the listed locations, except for active-duty military service member candidates. No relocation benefit is offered.
Requirements
- Bachelor’s degree from an accredited institution.
- At least six years of experience as a project manager, product owner, architect, BRM, or program lead on technology projects and programs, including experience with AI and data platforms, analytics, or integration products.
- Legally authorized to work in the United States without current or future company sponsorship.
- Strong written and verbal communication skills.
- Familiarity with design thinking methodologies.
- Ability to create and manage product roadmaps across multiple platform products and vendor relationships.
- AI and data orientation and ability to make data-driven decisions.
- Clear understanding of Lean principles in product and portfolio management.
- Comfort working directly with business leaders, external customers, and engineering teams.
- Experience working with diverse, global cultures, organizations, and teams.
- Ability to manage vendor and partner relationships across multiple platform providers.
Nice To Haves
- Demonstrable understanding of product management and modern product delivery processes.
- General understanding of DevSecOps and DataOps principles.
- Familiarity with modern software platform management and strategic planning.
- Experience with Agile delivery and Jira.
- Familiarity with Snowflake, Dataiku, Coalesce, or Palantir Foundry, and understanding of cloud data warehousing, transformation, and analytics or AI workflows.
- Experience with data acquisition and integration patterns, including batch and streaming ingestion.
- Understanding of data governance frameworks, AI principles, and data products or data mesh concepts.
Responsibilities
- Define and communicate the vision, strategy, and roadmap for AI and data platforms and the data acquisition portfolio, including Snowflake, Dataiku, Coalesce, Palantir, and ingestion and integration services.
- Own and prioritize the product backlog, manage user stories, decompose epics into features, and plan continuous improvement work.
- Plan, manage, and track product demand, including platform consumption and licensing costs.
- Develop and maintain product-specific personas and customer journeys for stakeholders, data engineers, analysts, and data science consumers.
- Work with business stakeholders and customers to understand priorities and define product outcomes and KPIs.
- Communicate goals for product enhancements and releases, and define goals for team sprints.
- Support onboarding of internal and external resources, new data sources, domains, and platform tenants.
- Support product stability and governance, including data quality, data privacy, policy, cybersecurity, access management, and usage.
- Build functional expertise in the product area, modern AI and data platforms, data engineering, and analytics enablement.
- Establish and improve product processes, such as release schedules, using approaches including Lean, Agile, Scrum, DevSecOps, and DataOps.
- Manage technical and operational debt and ensure it is represented in roadmaps.
- Support a Secure Product Development Lifecycle approach and promote cybersecurity throughout the engineering lifecycle.
- Collaborate with executive leadership, architects, analysts, and product team members to execute the roadmap and guide product development.
- Manage vendor and partner relationships across multiple platform providers.
- Travel up to 10%.
Benefits
- Variable incentive program
- Health and welfare benefits
- Retirement benefits
- Programs providing paid and unpaid time away from work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
