Type: Permanent, Full-Time
Location: Hanoi (Hybrid) / HCM (Remote)
Our client is a leading organization in maritime safety and environmental solutions, with an ambitious vision to drive innovation, digitalization, and sustainability. They are dedicated to enhancing safety, sustainability, and crew welfare through cutting-edge technology, data-driven solutions, and customer-focused approaches.
About the role:
We are currently seeking a聽Data Product Owner聽to oversee the end-to-end lifecycle of enterprise data products aligned with key business initiatives. This position plays a crucial role in connecting strategic objectives with technical implementation, ensuring solutions are scalable, aligned with enterprise architecture, and meet stakeholder needs.
You will be part of the Data Program Management team, working closely with business partners, analysts, engineers, and architects to deliver value-driven data products. While agile methodologies are integral to the delivery process, your main focus will be on data product strategy, design, and value realization.
Product Strategy & Execution
- Lead the design and delivery of governed data products that directly support high-level business goals and conform to enterprise architecture standards.
- Convert business requirements into structured deliverables (e.g., epics, user stories), with traceability to business impact.
- Drive data modeling activities, applying best practices including normalization, dimensional modeling, and domain-driven design.
- Collaborate with analysts and engineering teams to ensure delivery accuracy and product integrity.
- Assess existing solutions for potential reuse before initiating new developments.
Stakeholder Collaboration
- Act as the main point of contact between technical teams and business functions to align product outcomes with organizational priorities.
- Work with stakeholders to plan phased releases that balance short-term results and long-term scalability.
- Clearly communicate status updates, risks, and dependencies to diverse audiences.
- Set realistic expectations around delivery timelines and capacity across all involved parties.
Agile & Delivery Practices
- Promote an MVP (minimum viable product) approach to accelerate delivery and feedback loops.
- Guide team members in agile practices, managing velocity and technical debt while encouraging best practices.
- Step in as Scrum Master when necessary to ensure smooth sprint execution and process maturity.
Requirements
- Bachelor鈥檚 degree in Computer Science, Data Management, Business, or a related field.
- 5+ years of experience in managing data-centric products, especially in analytics or platform delivery.
- Proven ability in designing target-state data models and working alongside data architects.
- Strong foundation in data modeling theory: normalization, dimensional schemas (star/snowflake), and data vault principles.
- Experience in full product lifecycle management and data governance.
- Proficiency in cloud data platforms (e.g., Azure, Databricks, or similar).
- Strong communication and stakeholder engagement capabilities.
- Familiarity with Agile frameworks and tools; Scrum Master experience is a plus.