Senior Product Owner | f/m/d

Senior Product Owner | f/m/d

ERGO Technology & Services S.A.

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

Product Owner
AI
Big Data
data architecture
Azure Cloud
agile methodologies
data governance
data pipelines
communication skills
team collaboration

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
Aufrufe: 3
Veröffentlichtvor 26 Tagen
Läuft abin 4 Tagen

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