
Senior Product Owner | f/m/d
ERGO Technology & Services S.A.
Status
Hexjobs Insights
Stanowisko: Senior Product Owner. Kluczowe obowiązki: prowadzenie rozwoju warstwy danych, zarządzanie backlogiem, współpraca z zespołami AI/ML. Wymagania: 4+ lata doświadczenia, znajomość platform danych, Agile.
Schlüsselwörter
Vorteile
- Pakiet medyczny
- karta sportowa
- elastyczne godziny pracy
- możliwość pracy zdalnej
- warsztaty i szkolenia
- kursy językowe
- działania CSR
- akty sameorganizacyjne
What you will do
As a Senior 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
What we offer
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!
Requirements
- fluency in English
- 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
| Veröffentlicht | vor 26 Tagen |
| Läuft ab | in 4 Tagen |
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