Data Product Manager

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

• acting as the primary owner of data and analytics capabilities within the OMS migration project,

• engaging reporting and analytics stakeholders and align requirements with business goals,

• developing and maintain a detailed data & analytics product roadmap,

• gathering and translating business requirements into technical specifications,

• providing oversight on data architecture, scalability, and performance,

• overseeing integration of multiple data sources into OMS for real-time analytics,

• supervising development, testing, and User Acceptance Testing (UAT),

• leading end-user training and support deployment activities,

• monitoring system performance and drive continuous improvement initiatives.