Parking Domain Data Scrum Master/Quality Lead

Overview

The Scrum Master Quality Lead will partner with our Data Product Owner (DPO) and guide a cross-functional team of software developers, data engineers, and operations specialists. This team owns the end-to-end data lifecyclefrom vehicle collection and ingestion to processing, annotation, and releasepowering our Advanced Driver Assistance Systems (ADAS) Parking features (Perception, Parking Functions, and Crowd-Sourced Maps). In this dual-purpose role, you will act as a servant-leader to optimize team workflows and Agile practices, while leveraging your strong test management background to establish robust validation methodologies for our data pipelines and final data products. Because high-quality data is safety-critical for ADAS, you will champion a culture where data integrity is treated with the same rigor as software code. Responsibilities

Key ResponsibilitiesAgile Coaching Delivery Facilitation Facilitate standard Agile ceremonies, including Daily Stand-ups, Sprint Planning, Sprint Reviews, and Retrospectives.

Guide the team in Agile best practices, adapting frameworks (Scrum/Kanban) to suit a unique blend of software engineering and operational data tasks. Track and communicate key delivery metrics (e.g., sprint burndown, velocity, and cycle time for data processing). Actively identify and remove technical or operational impediments that hinder team progress. 2. Partnership with the Data Product Owner (DPO) Collaborate closely with the DPO to ensure the data product backlog is refined, prioritized, and aligned with downstream ADAS feature development. Assist in breaking down complex data pipeline requirements into clear, manageable epics and user stories. Manage cross-team dependencies, safeguarding the team from scope creep and external distractions. Data Quality Validation Governance Champion the Definition of Done (DoD) by ensuring it explicitly includes data validation gates, schema checks, and data contract adherence before any story is closed. Establish and monitor validation workflows for the annotation process, ensuring metrics like Inter-Annotator Agreement (IAA) and groundtruth accuracy meet strict ADAS thresholds. Define statistical sampling and validation frameworks for incoming, often noisy, crowd-sourced parking map data. Test Strategy Pipeline Methodology Drive a Shift-Left data testing culture by facilitating the integration of automated data testing (e.g., anomaly detection, automated schema checks) early in the ingestion and processing pipelines. Coordinate with data engineers to apply robust testing methodologies (Unit, Integration, and End-to-End) to both the pipeline code and the data payloads themselves. Lead defect triage sessions specifically focused on data anomalies, differentiating between software pipeline defects and fundamental data quality issues (e.g., sensor calibration). Release Readiness Traceability Act as the testing liaison for User Acceptance Testing (UAT) with downstream ADAS feature developers, ensuring released datasets physically function in their simulation and training environments.

Ensure full traceability from initial driving campaign requirements through to the final validated data release, supporting automotive safety and compliance audits. Qualifications

Qualifications Skills Proven experience as a Scrum Master, Agile Coach, or Agile Delivery Lead in a fast-paced technology environment. Deep background in Test Management, Quality Assurance, or SDET leadership, with a strong grasp of modern testing frameworks and methodologies. Deep understanding of Agile methodologies (Scrum, Kanban) and when to pragmatically apply them. Excellent facilitation, conflict resolution, and communication skills. Proficiency with Agile lifecycle and test management tools Essential skills

Qualifications Skills Proven experience as a Scrum Master, Agile Coach, or Agile Delivery Lead in a fast-paced technology environment. Deep background in Test Management, Quality Assurance, or SDET leadership, with a strong grasp of modern testing frameworks and methodologies. Deep understanding of Agile methodologies (Scrum, Kanban) and when to pragmatically apply them. Excellent facilitation, conflict resolution, and communication skills. Proficiency with Agile lifecycle and test management tools Experience

4 + years