Product Engineering & Process Leader

Norrøna; Bærum; Remote; NOK 1,000,000 - 1,600,000; Full time

Benefits offered by this job

HQ Lysaker location

Pension scheme

Discounts on Norrøna products

Company cabin access

Job summary

Norrøna is seeking a Product Engineering & Process Manager to lead a cross-functional team of specialists, technicians, and engineers in the RD&D department. You will structure work, deliver on schedule, and drive process improvements across systems and data management, including AI adoption.

Based at our Lysaker HQ, you will collaborate with designers, developers, and manufacturing to ensure data quality and efficient product data flow from development to production.

Qualifications

• Strong leadership experience managing skilled product teams.
• Ability to structure work, plan capacity, and deliver on deadlines.
• Experience with process improvement and rollout of new systems.
• Knowledge of PLM systems is a strong plus.
• Solid understanding of structured product data and reporting.

Responsibilities

• Lead, coach and develop the team of Product Specialists, Product Technicians and Product Engineers.
• Plan, prioritise and monitor the team's work and capacity to meet collection timelines and quality.
• Own complete product specifications and ensure data packages are handed over to Manufacturing.
• Lead department data processes and establish standards for data quality from development to production.
• Drive adoption of new tools and AI features across the RD&D organization.

Skills

Leadership

Planning capacity

Data literacy

PLM systems

Excel

Power BI

AI interest

Tools

PLM systems

Excel

Power BI

Job description

Norrøna is seeking a Product Engineering & Process Manager to lead a cross-functional team of specialists, technicians, and engineers in the RD&D department. You will structure work, deliver on schedule, and drive process improvements across systems and data management, including AI adoption.

Based at our Lysaker HQ, you will collaborate with designers, developers, and manufacturing to ensure data quality and efficient product data flow from development to production.