Product Owner - Finance Data Scientist

We are looking for a

Product Owner, Finance Data Science

to join the Finance Analytics IT Product Team in KONE IT Corporate Function Solutions Unit. The finance Analytics product teams purpose is to provide direct access to all essential financial, business, and external data from their digital devices, all consolidated within one platform, one portal. ​​User-friendly interfaces will translate complex data into clear insights for strategic decision-making.

In addition, product teams utilize complex data analytics techniques such as machine learning, predictive modeling, Gen AI and artificial intelligence. We build our use cases cloud natively Databricks and AWS, and we operate in full DevOps mode using agile way of working.

What is Product Owner role? Product Owner is responsible for the value realized from products in his/her scope. Taking a lifecycle view of products, Product Owner works with stakeholders and end users to understand their needs, prioritize them, and translate them into product backlogs. Product Owner work closely with agile team(s) to execute the prioritized backlogs. Product Owner takes active part in designing the functionality of the products and their features. Working closely with relevant experts, Product Owner ensures that product operations are planned in line with product value proposition and operations of deployed products are at planned levels.

Product Owner guides product teams to ensure end user and stakeholder needs are correctly understood, and the teams get timely feedback on their work. Product Owner follows product KPIs including operational performance, lifecycle costs and plan corrective actions when needed. Product Owner applies agile and DevOps principles and product management practices to maximize lifecyle value and speed of benefit realization. Product Owner regularly seeks feedback from stakeholders to identify improvement needs to product functionality and operations.

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:

• M.Sc. 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 understand 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.