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

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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: data models and architectures (batch/streaming) data pipelines and ingestion frameworks storage (e.g. data lake / data warehouse) and processing layers Support design and implementation of platform components for: machine learning workflows (MLOps, feature stores, model lifecycle) 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 Expectations - the experience you need 6 + years of overall experience, including: min. 2 years in data architecture / data engineering / platform design Practical understanding of: modern data architectures (Lakehouse, DWH, streaming) cloud platforms (AWS / Azure / GCP - at least one) data processing tools (e.g. Spark, dbt, Airflow or similar) Experience working closely with engineering teams (Data / Backend / Platform) Ability to understand and discuss: data models, schemas, pipelines, performance topics 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 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

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