The overall objective is to establish and operate Field Quality Early-Warning capabilities, enabling timely detection of emerging quality and durability risks and supporting early intervention to limit customer impact and reduce warranty cost. Build and lead a transversal organization responsible for defining and deploying the processes, KPI triggers, tools, and governance mechanisms required for effective early monitoring of field quality performance, including durability and aging indicators. Ensure consistent adoption and application across all regions, plants and products.

The Field Quality Monitoring & Early Warning Manager is accountable for the effectiveness of the early-warning system in terms of standardization and deployment across all regions, risk detection quality, escalation timeliness and governance discipline. The role leads the cross-functional and cross-regional coordination required to identify emerging risks and determine appropriate escalation and follow-up.

Coordinate and align with key stakeholders, including Regional Quality organizations, Engineering Quality functions, Manufacturing Quality, Supplier Quality, Aftersales, to ensure early-warning insights are actionable and properly integrated into the global quality decision processes.

Main accountabilities:

Deliverables of the function include on-time and effective delivery of:

• Early-monitoring KPIs, triggers, and thresholds to detect emerging field quality risks, including early MIS windows, abnormal inflow signals, and durability indicators
• Standardized tools and method to monitor early field quality signals consistently across regions, plants, products
• Defined processes and governance for early detection, risk assessment, escalation, and follow-up of emerging quality issues
• A consolidated and up-to-date list of emerging field quality risks, with clear status, trend, and escalation
• Develop and maintain strong engagement and alignment with Regional Quality organizations, Engineering Quality functions, Manufacturing Quality, Supplier Quality, Aftersales
• Operate and animate regular early-warning governance forums (e.g., weekly or monthly reviews) to review signals, validate emerging risks, decide escalation, and track aging of early-detected issues.
• Drive continuous improvement of the early-warning system, incorporating feedback, missed detections, product changes, and evolving failure modes to improve detection accuracy and timeliness.

Basic Qualifications:

• Bachelor's degree in Engineering, Data Analytics or a related technical or quantitative discipline
• Minimum of 8 years of relevant quality experience or project/program management
• Strong experience in automotive quality, warranty, or reliability, with solid understanding of early field quality behavior and emerging failure patterns
• Proven ability to define and operate monitoring KPIs, triggers, and detection logic
• Strong analytical judgment to identify true emerging risks and separate signal from noise in uncertain or early data
• Experience working across regions or functions, with the ability to challenge interpretations and drive consistent escalation decisions
• Strong executive communication and leadership presence, able to defend escalation decisions and operate effectively in high-visibility governance forums

Preferred Qualifications:

• Operational experience leading quality teams in engineering or manufacturing quality
• Hands on experience with Palantir Foundry
• Advanced degree in Business, Engineering, Data Science or related field