Company Profile:

At KONE, our mission is to improve the flow of urban life. As a global leader in the elevator and escalator industry, KONE provides elevators, escalators, and automatic building doors, as well as solutions for maintenance and modernization, which add value to the life cycle of any building. Through more effective People Flow®, we make people’s journeys safe, convenient and reliable, in taller, smarter buildings. Together with our partners and customers around the world, we help cities to become better places to live in. In 2016, KONE had annual net sales of EUR 8.8 billion, and at the end of the year over 52,000 employees. KONE class B shares are listed on the Nasdaq Helsinki Ltd. in Finland.

Job description:

As Products Owner your main responsibilities will be:

Work together with stakeholders from business functions to both understand their strategic needs and financial aspects related to the analytics products.

Define product roadmaps, prioritize new features and improvements, with focus on realizing maximum value from product investments through the product life cycle.

Plan and manage backlog items together with the IT Product Team and act as a bridge between business stakeholders and the team. 

Contribute to product functional and/or technical designs and guide team members where needed on functional and/or technical matters. Take help from the key members in the team as needed.

Collaborate with other agile teams to plan dependencies and joint development.

Apply agile and DevOps principles to maximize the flow of value and responsiveness. Promote continuous improvement to the products and ways of working within the agile team. Actively contribute to development initiatives within own tribe and department.

Ensure that the product operations and performance are as planned, and timely corrective actions are taken when needed. Follow and address technical debt in the product to ensure continued and sustained operations.

The desired candidate will have:

B.E degree in a quantitative field, for example computer science, physics, statistics, mathematics and/or computer science.

Proven track record in applying advanced analytics techniques such as Machine Learning and Artificial Intelligence to business problems using cloud technology Databricks and AWS with industry scale operations.

Experience in data science, Python, SQL and database understanding.

Good to have Cloud certifications, e.g. AWS and/or Azure

Ability to translate between business and technical viewpoints.

Knowledge of product management practices, development, and operations to ensure product value and performance over its lifetime.

Familiarity in applying product and design thinking.

Inbuilt cybersecurity awareness.

Demonstrated experience of working in global context with Agile and DevOps ways of working. Strong understanding of ITSM processes

Ability to self-organize and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills.

Strong communication and facilitation skills and proficiency in spoken and written English language.