Product Owner

Lufthansa AG
Hamburg, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Hamburg, Germany

Tech stack

Agile Methodologies
Data analysis
Continuous Integration
Information Engineering
Machine Learning
Scrum
Large Language Models
Technical Debt
Backend
Data Analytics
Data Pipelines

Job description

We're looking for an experienced Product Owner to join our AI & Analytics Services team, shaping the product vision and driving delivery for a platform that powers data pipelines and advanced AI/ML capabilities across a growing number of use cases and business stakeholders. - We operate high-throughput, event-driven data pipelines processing millions of data points daily, integrating machine learning and large language models to deliver actionable business insights. - As Product Owner, you define and prioritise standards for operational excellence across the full pipeline lifecycle - from monitoring, data quality and lineage tracking to error handling, CI/CD best practices and systematic reduction of technical debt - We own our roadmap end-to-end and work closely with stakeholders across the organisation to translate business needs into clear, well-scoped deliverables. - In our cross-functional setup, strong alignment between engineering, data science and

Requirements

business teams is essential - with the PO playing a central coordinating role. Ihr Profil: - University degree at Bachelor's level or above in a relevant field, combined with at least five years of experience as a Product Owner in a product-driven environment, including a proven track record of shipped products and measurable business impact. - Strong hands-on experience with Scrum and Agile practices such as sprint planning, backlog refinement, story mapping, retrospectives and stakeholder reporting. - Solid business acumen with the ability to translate complex technical topics into business value and vice versa, paired with excellent communication and facilitation skills. - Highly autonomous and self-driven, taking full ownership of backlog and roadmap. - Experience with backend, data engineering, analytics teams, and exposure to machine learning or LLM-based products is beneficial.

About the company

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