[C3I] Product Manager/Technical Product Owner (Data Platform & AI Readiness)

Job Description

Project – the aim you’ll 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 we’re 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 you’ll 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