Product Manager/Technical Product Owner – Data Platform, AI Readiness

🔥 45 minutes ago

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• 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

🎯 Requirements

• 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) • Experience in regulated industries (finance, telco, media, healthcare) is an edge. • Background as Data Engineer, BI Engineer, or Technical Analyst is an edge. • PMP certification can be an edge.

🏖️ Benefits

• 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