Senior Manager, Digital Product Quality & AI Governance

SE599 Valmet AB; Vantaa; On-site; EUR 120,000 - 150,000; Full time

Job summary

Valmet is seeking a Senior Manager, Product Quality Assurance to lead the Global Product Quality Assurance function and harmonize quality requirements across the product lifecycle.

You will partner with Product Management, Engineering and Technology Transfer to embed quality from the start, drive standardization of engineering processes, and build digital quality data models using AI-driven insights to improve decision-making and continuous improvement.

Qualifications

• Bachelor's or Master's degree in Engineering, Quality, or a related technical field.
• Strong experience in quality management or related roles, including line manager responsibilities.
• Understanding of quality management principles, QA frameworks, lifecycle-based quality management.
• Experience using quality and failure data to identify trends, risks, and improvements; knowledge of AI applications in quality assurance.

Responsibilities

• Lead the Product Quality Assurance function and develop product quality requirements across business areas and lifecycle.
• Partner with Product Management to identify CTQ and CTS characteristics across product families.
• Use quality data to strengthen product, engineering, and technology transfer requirements.
• Drive standardization of engineering processes and embed them into a unified Engineering Quality Framework.
• Lead development of digital quality data models and QA governance for Technology Transfer, including SOP development.

Skills

Quality management

Quality assurance frameworks

Data analysis

AI in quality

Lifecycle quality management

Education

Bachelor's or Master’s degree in Engineering, Quality, or related field

Tools

Quality data models

SOP development

Requirement traceability

Job description

Valmet is seeking a Senior Manager, Product Quality Assurance to lead the Global Product Quality Assurance function and harmonize quality requirements across the product lifecycle.

You will partner with Product Management, Engineering and Technology Transfer to embed quality from the start, drive standardization of engineering processes, and build digital quality data models using AI-driven insights to improve decision-making and continuous improvement.