Specialist, Cycle Data Insight

Enhance product quality from the consumer’s perspective by transforming real-use feedback into actionable insights. This role ensures new designs meet performance expectations and drives continuous improvement across the product cycle.

1. Quality Engineering /Project management
•    Lead the definition and execution of testing strategies tailored to each cycle or collection.

•    Act as the quality gatekeeper for new designs, ensuring alignment with consumer expectations and real-use scenarios with consumer-centric approach.

•    Establish testing protocols and acceptance criteria based on consumer data and historical post-launch insights.

•    Deliver validation analysis and communicate readiness risks clearly to NPD stakeholders.

•    Apply project management discipline to plan, track, and adapt validation and testing activities in alignment with NPD priorities.

2. Data-Driven Insight Generation/ Data Analytics
•    Analyze consumer complaints, return trends, and historical product failures to inform pre-launch quality planning.

•    Translate post-launch learnings into pre-emptive actions to reduce repeated quality issues.

•    Collaborate with cross-functional teams (e.g. NPD, R&D, Consumer Voice) to integrate data signals into product validation checkpoints.

•    Standardize metrics and dashboards to ensure insight traceability across cycles.

3. Quality Intelligence & Forecasting
•    Monitor early indicators (e.g. pilot data, design complexity, component risk) to identify quality risks before mass production.

•    Forecast potential failure modes using historical quality data and trend models.

•    Support structured root cause analysis with quantified data during development.

4. Team Leadership & Knowledge Management
•    Manage team workflow and prioritize insight delivery aligned with launch timelines.

•    Motivate team members to elevate analytical thinking and data storytelling.

•    Maintain centralized knowledge base for testing procedures, case learnings, and metrics.

•    Foster a culture of continuous improvement and cross-learning within the Cycle Quality function.