Product Owner - Data Processing
MOIA
Seniority
Midweight
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
Own the product scope and backlog for a data processing capability that ingests raw multimodal sensor data from vehicles and third-party providers via AWS. Your work enables reliable and scalable workflows for teams such as Data Replay & Debugging, Perception Validation, Automated Scenario Generation, Data Analytics, Virtual Testing, and Frontend Applications.
What you'll do
- Own the product scope and backlog for a data processing capability that ingests raw multimodal sensor data (e.g. camera video, lidar, radar, CAN signals, perception objects) from vehicles and third-party providers via AWS.
- Drive the implementation of strict input normalization, temporal alignment and synchronization, de-duplication and signal merging, schema validation and version handling.
- Ensure stable, backward-compatible output formats so upstream changes do not disrupt downstream consumers or workflows.
- Prioritize and manage your team's backlog in alignment with Program Increment (PI) objectives and overall product goals within a SAFe environment.
- Work closely with Product Management and other Product Owners to align priorities, dependencies, risks, and delivery.
- Act as the main interface between data producers and downstream engineering teams, translating consumer needs into concrete features and quality criteria.
- Define the product vision for Data Processing and own measurable outcomes — not just delivery, but whether downstream teams benefit.
What you'll need
- Proven experience as a Product Owner or Product Manager working closely with engineering teams, turning high-level objectives and PI goals into clear, well-structured backlog items.
- Strong understanding of data processing concepts, especially time-series, sensor data, and related data quality challenges.
- Experience with schema evolution, data normalization, validation, and maintaining shared outputs for multiple downstream consumers.
- Structured problem-solving skills and ability to translate ambiguity into actionable backlog.
- Experience working in cloud-based data platforms and managing teams who practice continuous delivery and DevOps.
- Confident communicator fluent in English (German is a plus) who enjoys working across technical and non-technical stakeholders in a scaled agile environment.
- Proven track record in stakeholder and supplier management with hands-on experience working with external development partners.
Nice to have
- Track record of outcome-oriented product ownership, not just backlog management.
- Curiosity to grow your PM craft and share learnings across the product organization.
- Pragmatic mindset to turn ambiguity into action and balance short-term delivery with long-term maintainability.
What they offer
- Competitive salary including bonus
- Hybrid work setup with flexibility to work from home or offices
- Flexible working hours and work arrangements
- Fully subsidized Deutschlandticket and MOIA ride discounts
- 30 vacation days, sabbatical, and unpaid leave options
- Learning environment with continuous learning days, trainings, conferences, and language classes
