Product Owner
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Key skills for this role
About the Role
Xebia is seeking an experienced Product Owner with strong data engineering acumen and airline domain expertise to own end-to-end delivery within a SAFe Agile environment.
Key Skills for This Role
Responsibilities
- Own end to end delivery as Product Owner within a SAFe Agile environment, driving PI Planning, sprint execution, and release governance across Agile Release Trains.
- Maintain a healthy, well refined product backlog with clear, testable user stories and acceptance criteria.
- Prioritize features using value based frameworks such as WSJF, balancing business value, time criticality, and risk reduction.
- Act as the primary interface between business stakeholders, vendors, and engineering teams, managing expectations and communicating progress through data driven delivery metrics.
- Track and report on velocity, predictability, cycle time, sprint burndown, defect leakage, and PI objective achievement.
- Translate complex data engineering requirements into prioritized, deliverable work and engage technically with engineers to remove blockers.
Requirements
- 10 years of experience
- Strong experience in Data Technologies like Databricks, ETL, Cloud Data Warehousing, lakehouse
- Experience in Airline Domain
- Hands on understanding of modern data platforms and pipelines
- Experience as Product Owner within SAFe Agile environment
Full Job Posting
Job Overview
- Xebia is looking for Product Owner Data with Airline Domain.
- Candidate must have strong experience in Data Technologies like Databricks, ETL, Cloud Data Warehousing, lakehouse.
- Must have experience in Airline Domain.
- Experience 10 years.
Job Description
- SAFe Delivery & Product Ownership: Own end to end delivery as Product Owner within a SAFe Agile environment, driving PI Planning, sprint execution, and release governance across Agile Release Trains.
- Backlog Management & Prioritization: Maintain a healthy, well refined product backlog with clear, testable user stories and acceptance criteria. Prioritize features using value based frameworks such as WSJF.
- Stakeholder Management & Delivery Metrics: Act as the primary interface between business stakeholders, vendors, and engineering teams, managing expectations and communicating progress through data driven delivery metrics.
- Data Engineering Acumen: Bring hands on understanding of modern data platforms and pipelines (e.g., medallion/lakehouse architectures, ETL/ELT, Databricks, cloud data warehousing) to credibly own data centric backlogs.
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