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Product Owner - Predictive Maintenance

TMC Data Science is seeking a highly motivated and experienced Product Owner to lead our Predictive Maintenance initiatives. In this role, you will play a critical part in driving the development and implementation of predictive maintenance solutions, leveraging cutting-edge data science techniques and technologies. You will collaborate closely with cross-functional teams, data scientists, engineers, and stakeholders to deliver scalable and innovative solutions that optimize equipment performance and reliability.

Product Owner - Predictive Maintenance

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| YOUR CHALLENGES?

  • Take ownership of the Predictive Maintenance product roadmap and delivery, ensuring alignment with business goals and customer needs.
  • Collaborate with data scientists, engineers, and stakeholders to define requirements, prioritize features, and drive solution development.
  • Lead Agile DataOps teams in the development, testing, and deployment of predictive maintenance models and applications.
  • Manage the end-to-end delivery process, including backlog grooming, sprint planning, and stakeholder communication.
  • Identify and mitigate risks, dependencies, and obstacles to ensure timely and successful project delivery.
  • Work closely with Product Managers, Scrum Masters, and other Product Owners to align priorities and maximize value delivery across the organization.
  • Foster a culture of continuous improvement, innovation, and collaboration within the Predictive Maintenance team.

| WHAT DO WE EXPECT FROM YOU?

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
  • Minimum of 3 years of experience as a Product Owner or similar role in an Agile environment.
  • Strong understanding of predictive maintenance concepts, methodologies, and best practices.
  • Proven track record of successfully delivering data-driven solutions, preferably in the industrial or manufacturing sector.
  • Excellent communication, leadership, and stakeholder management skills.
  • Ability to translate business requirements into actionable user stories and technical specifications.
  • Experience working with data science teams and familiarity with machine learning algorithms and tools.
  • Certification in Agile (e.g., Certified Scrum Product Owner) is a plus.

    | WHAT CAN YOU EXPECT FROM TMC?

    TMC is an international high-tech consultancy company that brings expertise to their clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster changing technological world.

    At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career.

    As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.

    | WHY CHOOSE FOR EMPLOYENEURSHIP?

    At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career.

    As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.



      TMC is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

      Past TMC perfect bij jou? We kijken ernaar uit van je te horen.

      Feel Free to Contact

      Bram Thelen

      Director Data Science | Nanotechnology | Physics, Netherlands

      Tel: +31 (0)6 52 89 25 70

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