product manager for data products

The employer's client operates in the software and technology solutions sector.

• Translate strategic goals and business needs into product roadmaps, plans, epics, releases, and requirements;
• Lead Product Discovery with business stakeholders and technical teams;
• Identify user needs, use cases, processes, and expected business outcomes;
• Set priorities based on business value, strategy, dependencies, technical feasibility, and effort;
• Manage the product backlog, requirements, dependencies, risks, acceptance criteria, and release readiness;
• Collaborate with Engineering Managers, Tech Leads, Data Engineers, Analysts, Data Scientists, BI teams, and Data Governance specialists;
• Ensure that developed technical solutions align with business goals and user needs;
• Coordinate collaboration between teams and stakeholders involved in developing data products;
• Communicate product priorities, decisions, trade-offs, and delivery progress;
• Define success metrics and create feedback collection mechanisms;
• Identify opportunities to standardize, reuse solutions, simplify processes, and automate;
• Support the development of scalable, reliable, and useful data products.

• At least 2 years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or in a similar role involving technically complex products;
• Experience in strategic planning and translating business goals into concrete product plans;
• Strong stakeholder management skills;
• Experience in Analytics, Data Science, Customer Data Governance, or Business Intelligence Product Management;
• Experience with Product Discovery, roadmap creation, prioritization, requirements definition, and product delivery with cross-functional teams;
• Ability to translate ambiguous business problems and stakeholder needs into concrete, actionable product plans;
• Experience managing epics, releases, backlogs, dependencies, and acceptance criteria;
• Experience working in an Agile environment;
• Ability to make decisions about priorities and trade-offs between business value, technical feasibility, and effort;
• Experience collaborating with Engineering, Data, Analytics, or Data Science teams;
• Significant experience in at least one of the following areas: Customer Data Governance, Customer Intelligence at Scale, or Data Science Products;
• Nice to have: experience with Trusted Customer Foundation, Customer Data Governance, Customer Intelligence at Scale.

• Long-term cooperation;
• Technical training, certifications, and professional development;
• Competence Center mentoring community, conferences, and knowledge sharing;
• Clear career path;
• Employee benefits package including Multisport, private medical care, and life insurance;
• Friendly work atmosphere, integration events, and team-building meetings;
• Referral bonus of up to 7000 zl;
• Recruitment may include an additional technical verification stage after the recruiter interview.