Senior Product Owner – Data Platform & Analytics
New
K
Klient Just Join ITData / E-commerce
Wrocław, -, Warszawa, -, Kraków, -, Poznań, -, WrocławFull-TimeSenior
Salary5716 - 5716 CHF per day b2b currencySource=conversion; 26250 - 26250 PLN per day b2b currencySource=original; 7067 - 7067 USD per day b2b currencySource=conversion; 6079 - 6079 EUR per day b2b currencySource=conversion; 5222 - 5222 GBP per day b2b currencySource=conversion
Apply NowOpens the employer's application page
Job Details
- Languages
- English B2
- Experience
- 4+ years
- Required Skills
- AgileProduct ManagementSCRUMJiraData modelingConfluenceDatabricks
Requirements
- 4+ years of experience in a Product Owner role with a strong focus on Data Platforms, Data Engineering, or Analytics products.
- Solid understanding of data modeling concepts, data flow, and modern enterprise data architectures.
- Hands-on expertise in Agile frameworks (Scrum, Kanban, or SAFe) and tools like Jira & Confluence.
- Excellent command of written and spoken English (B2 level).
- Proven track record of managing cross-functional stakeholder relationships.
- Practical experience or familiarity with Cloud Lakehouse architecture (especially Databricks) is preferred.
- Prior experience in the e-commerce sector handling large-scale consumer data is preferred.
- Understanding of Data Governance, compliance standards, and data security frameworks is preferred.
Responsibilities
- Shape, maintain, and execute the product vision for our Data Platform, aligning technical capabilities with core business goals.
- Own and prioritize the platform backlog, ensuring consistent delivery of high-value features in a fast-paced iterative environment.
- Partner closely with ML engineers, Business Analysts, and fellow POs to translate complex business needs into technical data requirements.
- Promote modern cloud data practices (including Cloud Lakehouse/Databricks), ensuring high standards for data quality, accessibility, and governance across the org.
- Act as the strategic partner and primary contact for stakeholders regarding data products, architecture scaling, and platform evolution.
- Successfully balance immediate operational requirements with robust, long-term data architecture scalability.
View Full Description & ApplyYou'll be redirected to the employer's site
