**
Libryo is seeking a detail-oriented Data Manager to oversee the integrity and reliability of environmental quality data using the EarthSoft EQuIS suite. The role involves managing the entire environmental data lifecycle and collaborating with cross-functional teams to support data-driven decision-making.
**
Job Summary
Oversee the entire environmental data lifecycle—from field and laboratory acquisition, through validation and QA/QC, to secure storage and reporting—ensuring accuracy, traceability, and compliance with regulatory and internal standards.
Collaborate with internal teams and laboratories to plan and prepare for sampling rounds and ensure timely and accurate data delivery, including troubleshooting EDD/EDP errors and supporting field data collection (Collect/EDGE).
Support enterprise analytics and reporting by providing clean, structured datasets and generating standard EQuIS reports and Power BI/Excel summaries or preparing EQUIS outputs for 3D modelling in EVS or in GIS formats.
Matching Summary
Match Score: 75
**
Libryo is seeking a detail-oriented Data Manager to oversee the integrity and reliability of environmental quality data using the EarthSoft EQuIS suite. The role involves managing the entire environmental data lifecycle and collaborating with cross-functional teams to support data-driven decision-making.
**
Skills & Requirements
Must-have
EarthSoft EQuIS platform experience
Environmental data literacy
Data governance processes
QA/QC protocols for environmental data
EQuIS schema and data structure knowledge
Nice-to-have
Systemic problem-solving mindset
Continuous improvement mindset
Attention to detail
Ability to manage workload independently
Adapt to changing deadlines
Key Requirements
Bachelor's or Master's degree in Environmental Sciences, Data Management, Information Systems, Computer Science, or related field
At least 3 years of experience in environmental data management
Hands-on experience with EarthSoft EQuIS modules (EDP, Data Manager/Enterprise, Collect, EDGE)
Experience with QA/QC routines for environmental data