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.