[C3I] Product ManagerTechnical Product Owner (Data Platform & AI Readiness)

Project the aim youll have

We are looking for a technically oriented Product Manager / Technical Product Owner who will co-own the development of a modern data platform enabling analytics AI and machine learning use cases.
This role is hands-on and requires understanding of data architecture data engineering practices and platform design. You will work closely with Data Engineers Architects and ML teams to shape a scalable reliable and production-ready data ecosystem.

Profile were looking for:

• Technically hands-on mindset (not a purely business Product Manager)
• Able to speak both languages engineering and product
• Interested in building data platforms not only managing backlog
• Comfortable working close to architecture and implementation topics

Position how youll contribute

• Co-define and evolve the data platform roadmap in collaboration with architecture and engineering teams
• Translate technical and business requirements into epics user stories and technical backlog items
• Work closely with Data Engineers and Architects on: 

1. data models and architectures (batch/streaming)
2. data pipelines and ingestion frameworks
3. storage (e.g. data lake / data warehouse) and processing layers

• Support design and implementation of platform components for: 

1. machine learning workflows (MLOps feature stores model lifecycle)
2. data observability lineage and quality monitoring

• Ensure datasets are reliable well-structured and ready for analytics and ML use cases
• Participate in technical discussions and architecture decisions (not just coordination)
• Drive delivery in an agile setup (planning backlog refinement prioritisation)
• Communicate technical concepts in a clear way to non-technical stakeholders

Qualifications :

Expectations the experience you need

• 6 years of overall experience including: 

1. min. 2 years in data architecture / data engineering / platform design

• Practical understanding of: 

1. modern data architectures (Lakehouse DWH streaming)
2. cloud platforms (AWS / Azure / GCP at least one)
3. data processing tools (e.g. Spark dbt Airflow or similar)

• Experience working closely with engineering teams (Data / Backend / Platform)
• Ability to understand and discuss: 

1. data models schemas pipelines performance topics
2. trade-offs between scalability cost and complexity

• Basic understanding of ML ecosystem (pipelines model lifecycle deployment concepts)
• Strong analytical thinking and problem-solving skills
• Good communication and stakeholder management skills
• AgilePM Practitioner certification or equivalent
• Scrum Product Owner II (PSPO II) or equivalent
• Working knowledge of PMBOK (project management standards and practices)

Additional skills the edge you have

• Experience in regulated industries (finance telco media healthcare)
• Exposure to MLOps / Feature Stores / Data Governance
• Background as Data Engineer BI Engineer or Technical Analyst
• PMP certification

Additional Information :

Our offer professional development personal growth:

• Professional development personal growth
• Flexible employment and hybrid work
• Non-corporate atmosphere
• Lunch tickets
• Private healthcare and insurance
• Multisport card
• Well-being initiatives
• Travel programs
• More intriguing benefits will be revealed during our interviews

Position at: Software Mind Poland

Remote Work :

Yes

Employment Type :

Full-time