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 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., 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.
