Job description
Act as Senior Technical Product Owner for data analytics and machine learning products, owning the vision, roadmap, and backlog. • Drive end-to-end responsibility for solution delivery, including requirements definition, development oversight, quality assurance, and production readiness. • Work hands-on in data analytics and ML initiatives, contributing as: Product Owner, and/or Technical contributor (developer/reviewer) where needed. • Collaborate closely with data engineers, ML engineers, and platform teams working on: Snowflake Databricks Modern cloud-based data platforms. • Translate business objectives & user needs into clear, prioritized user stories and technical requirements. • Review architecture, code, and implementations to ensure alignment with: Business requirements Technical standards Data quality and performance expectations. • Establish and enforce quality standards, including testing strategies, acceptance criteria, and release readiness. • Proactively manage delivery in environments with ambiguous or evolving requirements, driving clarity and alignment. • Act as a key interface between business stakeholders and technical teams, ensuring transparency and predictable outcomes. • 3–5+ years of experience as a Technical Product Owner or similar role in data-driven environments. • Proven experience in data analytics and machine learning projects, acting as: Product Owner, and/or Developer / technical contributor. • Strong hands-on technical expertise in: SQL Python Git and DevOps practices Modern data platforms such as Snowflake and Databricks Experience with Qlik is a plus. • Solid understanding of: Data pipelines and ETL/ELT processes Analytics and ML solution lifecycle. • Demonstrated ability to steer, coach, and challenge development teams, fostering high engineering and delivery standards. • Strong capability to review code and designs against user needs and business outcomes. • Comfortable working proactively and independently in complex environments with changing or unclear requirements. • Strong analytical thinking, communication, and stakeholder management skills. • Fluency in English (spoken and written).
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