Mid-Level Product Manager
Summary
Mid-Level Product Manager (hybrid, Medellín) acting as the bridge between business stakeholders and data engineering teams on a core data platform—translating logistics-oriented business needs into user stories, managing the analytics request queue, and driving Agile ceremonies using Jira and Confluence.
- Translate complex business needs from stakeholders into clear technical requirements and detailed user stories, maintaining comprehensive documentation in Jira and Confluence.
- Serve as the primary liaison between business consumers and technical teams, ensuring clear and consistent communication regarding release notes, project status, and data availability.
- Manage the Analytics Engineering request queue by applying process management principles to track work and support the prioritization of tasks based on business impact.
- Collaborate closely with Analytics and Data Engineering teams to proactively identify upcoming application or schema changes and assess potential downstream impacts on the data platform.
- Lead the triage process for data quality issues by coordinating between data producers and consumers to facilitate timely investigation and resolution.
- Contribute actively to all Agile ceremonies, including sprint planning, backlog grooming, standups, and retrospectives, to ensure team alignment and continuous improvement.
- Support the end-to-end execution of key data initiatives, such as source migrations and new event tracking implementations, from the initial discovery phase through to internal release.
- A minimum of two years of experience in project coordination, project management, or a related operational role.
- Strong background in the logistics industry, providing essential context for core business drivers.
- Proven experience in process management and translating business needs into detailed user stories and technical requirements.
- Proficiency in writing requirements and maintaining team documentation using tools such as Jira and Confluence.
- Practical experience participating in Agile team ceremonies (e.g., standups, sprint planning, retrospectives) and a solid understanding of Agile methodologies.
- Excellent written and verbal communication skills in English for effective stakeholder management and coordination.
- Highly organized with the ability to manage multiple tasks and adapt to shifting priorities in a fast-paced environment.
- A proactive attitude toward learning new product-specific methodologies and tools.
Nice to have
- A basic understanding of SQL and Snowflake to assist with data exploration.
- Familiarity with product management frameworks related to strategy, growth, and delivery.
- Previous experience working within a technical or data-focused environment
Soft Skills
- Exceptional written and verbal communication skills, essential for acting as the primary bridge between business stakeholders and technical teams, and for clearly articulating requirements, status updates, and release notes.
- Superior organizational and process management skills, crucial for managing the analytics request queue, tracking complex workstreams, and ensuring all stakeholders remain informed and aligned.
- High degree of adaptability, with the ability to effectively manage shifting priorities and multiple workstreams, from triaging data quality issues to supporting new data initiatives in a dynamic environment.
- Proactive growth mindset, demonstrating a strong willingness to learn and master new product management methodologies, data tools, and technical concepts to evolve into a well-rounded product expert.
- Strong collaborative spirit, with the ability to build effective partnerships with both technical and business teams to translate operational needs into clear data requirements and resolve issues collectively.
- Join a powerful tech workforce and help us change the world through technology
- Professional development opportunities with international customers
- Collaborative work environment
- Career path and mentorship programs that will lead to new levels.