Parts Lifecycle Intelligence Manager

Join us and take your career to the next level

Are you passionate about using data, technology, and innovation to redefine how parts perform, evolve, and deliver value across their entire lifespan?

At Kalmar, we are transforming how we manage the parts lifecycle -ensuring our components are backed by accurate, up-to-date intelligence that enables more proactive, timely, and data-driven recommendations throughout its entire lifespan.

Join Kalmar as a Parts Lifecycle Intelligence Manager and lead our global transformation in parts lifecycle intelligence - turning data into decisions that enhance reliability, optimize performance, and drive smarter business outcomes.

This role is based in Tampere, Finland, or Ljungby, Sweden, with a flexible hybrid work model.

What are your key responsibilities:

In this strategic and hands-on role, you’ll bring together people, processes, and predictive insights to create a smarter, more data-driven approach to lifecycle management. You will:

• Lead Lifecycle Intelligence Strategy: Develop and implement a unified strategy for parts lifecycle intelligence, aligned with Kalmar’s business goals and product lifecycle management vision.

• Drive Reliability Analytics: Establish, track and maintain MTBF metrics.  Analyse data to identify trends and implement strategies for improvements.

• Reliability-Centred Maintenance (RCM): Lead initiatives to establish and enhance RCM processes.

• Partner Across Functions: Collaborate closely with Engineering, Product Lines, Customer Support, and Supply Chain to ensure lifecycle insights directly inform design, maintenance, and commercial strategies.

• Deliver Actionable Insights: Translate complex data into clear, actionable recommendations through dashboards, reports, and storytelling - driving decisions that reduce cost and boost performance.

• Continuously Improve: Introduce best practices, new technologies, and smarter ways of working to make lifecycle management more intelligent, proactive, and predictive.

What we offer you:

"When we solve something complex together for a customer, it’s not just a technical win - it’s a trust win.​"

• Rewards that truly count: Enjoy meaningful rewards that support your everyday life and well-being, including a company mobile phone, a flexible Edenred benefit for lunch, commuting, or wellness services, and comprehensive healthcare through Mehiläinen, enhanced by our health insurance fund for additional coverage and peace of mind.

• Safety that moves us forward: Build your career with a company rooted in safety since the 1940s, ensuring stability and an environment that empowers you to speak and be heard.

• Work-life balance: We prioritise work-life balance, providing flexible working hours and a hybrid work model tailored to meet both your needs and those of your team. 

• Purpose that drives change: You'll contribute to solutions that transform global trade, creating environmental and operational innovations. You'll be in the driver's seat of ideas, developing digital technologies that set industry standards and position us as the forerunner.

• People who move together: You'll collaborate with people who build lasting relationships through global expertise, connections, and a commitment to sustainability.
  
  Become part of our global network of 5,200 professionals across 120+ countries, where your work drives innovation, sustainability, and meaningful impact around the world.

What you bring to the role:

• Educational Background: Bachelor’s degree in Engineering, Data Science, Supply Chain Management, or related field; advanced degree preferred.

• Professional Experience: 5+ years in parts lifecycle management, reliability engineering, or a related discipline within the industrial OEM sector.

• Analytical & Technical Expertise: Proven experience with data analytics, predictive modeling, and AI/ML tools (Python, R, TensorFlow).

• Reliability Focus: Deep understanding of reliability engineering principles and RCM practices; certifications (e.g., CRE, CMRP) are a plus.

• Collaborative Mindset: Strong communication and influencing skills with the ability to align diverse teams around shared goals.

• Systems Knowledge: Familiarity with ERP and inventory management systems; ability to navigate multinational, matrix organizations.

• Language Skills: Fluent English, both spoken and written.

Ready to elevate your career? Apply today!

Apply today and help us shape a smarter, more reliable, and more connected world of equipment lifecycle management.

We encourage you to submit your application as soon as possible. Interviews will be conducted on a rolling basis, and the position will be filled once the ideal candidate is identified.