Product Owner (all genders) - Data Processing

Join us as a Product Owner (all genders) in our Data Processing team on a shared journey that matters! About the team The Data Processing team is part of the Vehicle/SDS Data Team and responsible for building and evolving a robust data processing capability that transforms raw, heterogeneous sensor data into standardized, time‑aligned, and validated datasets for downstream engineering workflows. Our work ensures that teams working on autonomy, validation, analytics, and tooling can rely on consistent, high‑quality sensor data, even as upstream data sources, configurations, and formats change over time. Why your role as a Product Owner matters Your work as a Product Owner enables reliable and scalable workflows for teams such as: Data Replay Debugging (e.g. Lichtblick) Perception Validation and Model Evaluation Automated Scenario and Test‑Case Generation Data Analytics and KPI Aggregation Virtual Testing and Simulation Pipelines Frontend and Backoffice Applications By absorbing variability from upstream data sources and providing consistent, validated outputs, the Data Processing team removes friction for downstream engineering. This enables faster debugging, safer validation, and more efficient development as systems evolve over time. What you will do Product Ownership: 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. Data Processing Standards: Drive the implementation of strict input normalization, temporal alignment and synchronization, de‑duplication and signal merging, schema validation and version handling. Data Reliability Compatibility: Ensure stable, backward-compatible output formats so upstream changes do not disrupt downstream consumers or workflows. Backlog Management Prioritization: Prioritize and manage your team’s backlog in alignment with Program Increment (PI) objectives and overall product goals within a SAFe environment. Stakeholder Alignment Collaboration: Work closely with Product Management and other Product Owners in the Agile Release Train to align priorities, dependencies, risks, trade-offs, and delivery. Act as the main interface between data producers (e.g. OEMs, SDS provider) and downstream engineering teams, translating consumer needs into concrete features and quality criteria. Manage dependencies, risks, and trade‑offs transparently across stakeholders. Agile Execution: Ensure backlog readiness and active participation in ceremonies such as PI Planning, backlog refinement, and Inspect Adapt events. Define the product vision for Data Processing and own measurable outcomes — not just delivery, but whether downstream teams benefit. Co-lead the team in the Triangle with Tech Lead and Agilist; influence and align without authority. Prioritize based on evidence: usage data, quality metrics, and consumer feedback. What will help you to fulfill your role Product Excellence: You have 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 that enable predictable delivery. Track record of outcome-oriented product ownership, not just backlog management Curiosity to grow your PM craft and share learnings across the product organization Data Processing Quality Expertise: You demonstrate strong understanding of data processing concepts, especially time-series, sensor data, and related data quality challenges. You have experience with schema evolution, data normalization, validation, and maintaining shared outputs for multiple downstream consumers. Problem solving execution: You have structured problem‑solving skills and the ability to translate ambiguity into actionable backlog. Experience working in cloud-based data platforms and managing teams who practice continuous del ... (truncated, view full listing at source)