About the role • Lead and manage home (alpha) test initiatives to capture issues at product development early stage and assess product performance in real-world conditions. • Validate lab test outcomes against design quality to ensure seamless integration. • Analyse in-life product quality and other data streams to develop actionable insights. • Build and drive a leading quality dashboard that functions as an early indicator for both software and hardware quality (SWHWPS). • Develop robust product-level test specifications and perform detailed product level requirement analytics. • Ensure detailed and accurate test specifications are ready and aligned before Target Set milestones, supporting design and engineering teams from concept through production post launch. • Drive innovations in test methodologies, including the application of AI/ML and advanced data analytics to enhance detection reliability and test efficiency. • Act as a technical authority within the Test & QA team, collaborating with Development, Operations, Quality and Design teams to integrate test processes seamlessly into the product development lifecycle. • Report projects test progress & software quality status to senior stakeholders and ensure clear communication across teams. About you • Minimally 7 years product quality or software test relevant experience. • Bachelor’s or Master’s degree in computer engineering / Electronic Engineering, or related fields. • Highly proficient in Python for data manipulation and statistical analysis. You have hands-on experience using libraries such as Pandas and NumPy for data processing, and Matplotlib, Seaborn, or Plotly for creating automated quality visualizations. • Skilled in building professional, automated dashboards using tools such as Tableau or Power BI. You can translate raw Python-processed data into intuitive visual interfaces for senior leadership tracking. • Proficient in SQL for querying complex datasets and experienced in working with modern cloud data platforms like AWS Redshift. • Possess a strong understanding of electronics hardware, its interfacing to software systems. • Knowledge of software in IOT products, such as embedded, app, cloud and ML. • Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders. • Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.