Senior Product Manager, AI-Driven Data Tools

Jeppesen ForeFlight; Województwo pomorskie; Hybrid; PLN 250,000 - 360,000; Full time

Job summary

Jeppesen ForeFlight is seeking a Sr Product Manager Specialist II for GDM Tools in Poland. The role focuses on owning the automation and applied-AI roadmaps within the Global Data Organization, coordinating with data production and engineering teams to meet cost-savings and production-hour targets, and ensuring compliance with data governance standards.

Responsibilities include defining integration requirements, aligning with QA and data governance teams, and shaping the lifecycle management of

Qualifications

• 6+ yrs experience in product development/management, program management and/or financial analysis.
• 2-3 years experience with workflow automation, internal tooling, or applied AI/ML product management.
• 3+ years experience partnering with engineering and QA teams to ship internal tools or platform capabilities.
• Strong communication and collaboration skills with software engineering, data production, and QA teams.

Responsibilities

• Owns the roadmap for GDM Tools' automation and applied-AI capabilities.
• Communicates tooling and automation requirements to data production and engineering teams to coordinate workflow and system changes.
• Documents end-to-end business requirements and understands the data and workflow needs of GDM's aeronautical data production pipeline.
• Owns the feasibility interface and support between data production operations and product portfolio management.
• Defines integration and configuration requirements for automation and applied-AI tools across the production pipeline.

Skills

Product management

Workflow automation

Internal tooling

Applied AI/ML

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering

MBA preferred

Job description

Jeppesen ForeFlight is seeking a Sr Product Manager Specialist II for GDM Tools in Poland. The role focuses on owning the automation and applied-AI roadmaps within the Global Data Organization, coordinating with data production and engineering teams to meet cost-savings and production-hour targets, and ensuring compliance with data governance standards.

Responsibilities include defining integration requirements, aligning with QA and data governance teams, and shaping the lifecycle management of