Able to perform in a high- and fast-paced environment
SAFe Agile PM/PO Certification
Maintain focus on the project and synchronize agile teams
Work with Product Management and other stakeholders to define and prioritize epics/features/stories/projects
Requirements:
Own and manage the product backlog for the Aeronautics Data and AI Enablement Solution Analytics team in a Scaled Agile environment to drive data-enabled business insights
Define and prioritize epics/features/stories aligned with business needs and translate requirements into actionable items for development teams, in collaboration with Product Management and stakeholders
Facilitate Agile ceremonies (DSU, Program Backlog/Vision, PI Planning, Iteration Planning/Review, Retrospectives) and identify and remove impediments and risks
Build and maintain cross-functional relationships outside the local team with Product Management, Customers, Business Owners, and other stakeholders to ensure alignment and successful delivery
Job description
Join our dynamic team as a Product Owner, where you'll play a critical role in working to provide data solutions to provide business insights. This role will have Product Owner responsibilities under Scaled Agile framework to drive the mission of the Aeronautics Data and AI Enablement Solution Analytics team.
Mandatory skills:
• Able to perform in a high and fast pace environment
• Safe Agile PM/PO Certification
•Maintain focus on the project and synchronize agile teams
• Work with Product Management and other stakeholders to define and prioritize epics/features/stories/projects
• Translate business requirements into features/stories for the technical teams
• Identify and remove impediments and risks
• Facilitate Agile ceremonies (DSU, Program Backlog/Vision, PI Planning, Iteration Planning/Review, Retrospective, etc)
• Build significant relationships and responsibilities outside the local team, including working with Product Management, Customers, Business Owners, and other stakeholders.
Heavily desired skills:
• PO who has background in Data and analytics environment
• Familiar with Enterprise Data Warehouse concepts in SAP HANA
