Senior Product Owner/ Product Manager (Data Engineering)

About Us

ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.

In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.

Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.

About the role

As a Product Manager / Product Owner, you will drive the development and evolution of a data layer that powers AI, Big Data, and Generative AI initiatives. This role requires a strategic mindset, technical understanding, and the ability to collaborate with cross-functional teams to define and deliver scalable, high-quality data products.

How you will get the job done

• defining the vision, strategy, and roadmap for the data layer in Azure Cloud, ensuring alignment with business needs and technological advancements
• collaborating with data engineers, AI/ML teams, and business stakeholders to build and optimize data pipelines, platforms, and services that enable advanced analytics and AI-driven solutions
• managing the backlog, prioritizing features, and ensuring timely delivery of scalable, high-performance data layer in various forms ( i.e Data Hubs, relational databases etc)
• overseeing compliance, security, and financials standards for data management, ensuring adherence to best practices
• ensuring smooth integration of AI and Big Data capabilities within the broader IT landscape
• monitoring key performance indicators and driving continuous improvements based on feedback and evolving requirements
• facilitating communication between technical teams and business stakeholders to translate complex requirements into actionable solutions

Skills and experience you will need

• fluency in English (B2 level or higher)
• university degree in Computer Science, IT, or a related field
• 4+ years of experience in product management, preferably in AI, Big Data, or Data Engineering domains
• strong understanding of data platforms, pipelines, and cloud-based data architectures
• experience working in agile environments (Scrum, Kanban) and managing product backlogs
• excellent communication skills to align diverse teams and stakeholders
• ability to balance competing priorities and drive pragmatic, value-driven decisions
• experience delivering data-driven products that support AI, analytics, and operational applications
• familiarity with data governance, compliance frameworks, and security best practices

Nice to have

• experience with AI/ML product development, Generative AI, and LLM-based applications
• knowledge of any public cloud platforms (Azure, AWS, or GCP) and data engineering tools (Databricks, Spark, Kafka, etc.)
• background in software engineering, MLOps, or data architecture
• understanding of ISO 27001, SOC2, or other compliance frameworks

Perks & Benefits

Let's be healthy

Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced

Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart

We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible

Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun

Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse

Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!