Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work.

The team you'll be part of  

At Nokia Digital Office, we deliver seamless technology experiences to Nokia employees and external users across the world. Together, we drive Nokia’s digital journey to increase the company’s performance and competitiveness. If you’re a hands-on technologist who wants to make an impact, come join us!

You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for Nokia. You will work with other product owners to create the best-in-class advanced analytics platform with leading data science/machine learning/artificial intelligence capabilities to support the business in solving the most critical challenges.

What you will learn and contribute to

As part of our team, you will:

Own the implementation of a new data advanced analytics (AA) platform from concept to delivery (acting as the SME expert for the organization)
Collaborate closely with engineers, business groups and further stakeholders to understand their needs and identify new opportunities to evolve the AA platform
Constantly communicate with all departments including senior leadership
Establish focus by creating a product vision, prioritizing activities and defining meaningful KPIs to track the evolution and impact of deliveries
Apply agile and lean principles in design and implementation

Your skills and experience

 You have:

2+ years of experience as a technical product owner, or comparable type of role
5+ years of overall experience in software/technology development with specific knowledge in some of the most relevant data and analytics cloud technologies
1-2+ years of experience in participating in data and analytics initiatives in a corporate environment or a growing, data-driven startup
Understanding of advanced analytics, including data management, different types of machine learning approaches and machine learning pipelines
Sound understanding of agile methodology and other project management methodologies

It would be nice if you also had:

Practical knowledge of data engineering concepts and best practices, including related to DataOps, MLOps and relevant tools (e.g., Kubernetes, Kedro, ..)
Experience with implementing and leading advanced analytics projects in a corporate environment
Experience in designing, setting up and maintaining highly scalable advanced analytics tooling frameworks
Master’s degree or equivalent in information technology, data science or related discipline

What we offer

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. #LI-Hybrid

You would be flexible to pick a location of our three data hubs (Portugal, Hungary or India).

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

One of the World’s Most Ethical Companies by Ethisphere
Gender-Equality Index by Bloomberg
Workplace Pride Global Benchmark
LGBT+ equality & best place to work by HRC Foundation

At Nokia, we act inclusively and respect the uniqueness of people.

Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

 Join us and be part of a company where you will feel included and empowered to succeed.

Advanced Analytics Product Owner