Vessel Data Manager
AI Summary
Vessel Data Manager leads a 6-person data-analyst team, owning scalable pipelines and vessel-related datasets, while shaping the roadmap and ensuring data quality across platforms.
About this role
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
Your future position
Kpler’s Maritime Data unit is looking for a Vessel Data Manager with strong technical background. In this role, you will lead a dedicated team of 6 Data Analysts responsible for owning, scaling, and protecting the core baseline dataset that underpins the entire Kpler ecosystem. This is a crucial, horizontal position: your team’s data serves as the single source of truth powering production systems across both the Kpler Terminal and the MarineTraffic platform.
You will spend your time equally divided between driving team roadmap delivery and actively contributing to writing and optimizing high-scale data pipelines in SQL and Python. Collaborating closely with Data Product Managers and Engineering Managers, you will protect database integrity and ensure our global shipping repository remains the most accurate and reliable in the world.
Your mission is to:
Define and monitor team goals, supervise activities, and maintain focus on priorities.
Serve as the subject matter expert on Vessel Particulars & Companies business logic, rules, and datasets.
Identify and integrate new datasets into our databases.
Develop and test business logic, create dashboards, and curate datasets.
Allocate resources, support team members, and identify training needs.
Implement automation solutions, integrate new data sources, and maintain related platforms.
Collaborate with tech stakeholders for infrastructure needs and support commercial teams with data insights.
Enhance proprietary data quality and keep the team aligned with company objectives.
Manage KPIs and OKRs, provide insights for improvement, and support product development.
Experience & Background
Essential:
3+ years of proven experience formally leading and managing a technical data team
Advanced, hands-on proficiency in SQL and Python
Proven experience designing, optimizing, and maintaining ETL processes, working with APIs for data ingestion, and utilizing web-scraping frameworks.
Practical familiarity with data visualization and reporting tools (e.g., Tableau, Looker, Excel)
A strong understanding of statistical methodologies to build automated data validation logic.
Excellent communication skills with a track record of collaborating with cross-functional management
Desirable :
Background from Maritime Industry and SaaS is highly valuable for this role.
Project management experience.
Experience with Dataiku or similar data science and workflow automation platforms.
Behavioural Competencies:
Strong leadership and team management skills
Structured and process-oriented mindset, with a focus on prioritisation and delivery reliability
Analytical thinking and problem-solving
Effective communication and collaboration with cross-functional and external stakeholders.
Ownership and accountability, with a continuous improvement mindset.
Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Maritime Studies or a related field.
