MARGO is a digital consulting firm that helps organizations tackle complex IT and digital transformation challenges. Its specialists work across data, artificial intelligence, cloud transformation, data architecture, and software engineering, supporting clients in sectors including finance, insurance, energy, technology, and logistics. MARGO’s work is centered on applying digital expertise to ambitious business and technology initiatives.
HR Data Product Owner / Business Analyst – Warsaw Hybrid
Own delivery of a Databricks data product that provides managers with automated presence insights. Coordinate HR, privacy, data, architecture, and engineering stakeholders in Warsaw.
Description
- Lead functional delivery of the Databricks data product for the Automated Presence Insights for Managers initiative
- Manage data-platform projects end to end, from discovery and scope definition through requirements, development coordination, validation, stakeholder approval, and operational handover
- Capture and maintain business and data requirements
- Convert requirements into Jira user stories and acceptance criteria
- Review data structures, sources, transformations, and business rules for accuracy and suitability
- Check the quality, consistency, and reliability of delivered data outputs
- Keep project and data records up to date in Confluence
- Equip reporting and analytics teams with definitions, data context, and requirements for downstream reporting
- Coordinate communication among business stakeholders, HR and data owners, privacy contacts, architects, and engineering teams
- Ensure the data product has clear boundaries, dependable outputs, complete documentation, and appropriate data-protection compliance
Requirements
- Background as a Technical Product Owner, Business Analyst, Systems Analyst, or in a comparable position
- Working knowledge of privacy principles and responsible data use, especially for employee and workplace information
- Capability to spot privacy concerns and bring in Privacy, Legal, Security, HR, or Data Protection specialists when needed
- Solid knowledge of data structures, models, sources, pipelines, transformations, and data-quality practices
- Skill in explaining data clearly and confirming its interpretation and use with data owners
- Ability to turn business objectives into precise requirements for data and engineering teams
- Experience creating Jira user stories and acceptance criteria
- Working familiarity with Databricks, Azure data services, Workday, and Power BI; Workday experience is particularly valuable
- Strong communication, coordination, and documentation abilities
- A proactive, inquisitive approach and the independence to investigate data problems
- Experience working in Agile environments with Jira and Confluence