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 lifecycle—from vehicle collection and ingestion to processing, annotation, and release—powering 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 robust 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 i
📌 Parking Domain Data Scrum Master/Quality Lead (India)
🏢 Expleo
📍 India