Data Manager
Why This Role Matters
We’re seeking a detail-oriented Data Manager to ensure the integrity and reliability of environmental quality data using the EarthSoft EQuIS suite. Your work will enable accurate analytics and reporting, driving informed decision-making for ERM’s technical teams and clients.
What Your Impact Is
You’ll 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. By collaborating with cross-functional teams and interfacing with laboratories, you’ll deliver high-quality datasets that support technical consultants in producing analyses, maps, and models for environmental quality studies.
What You’ll Bring
Hands-on experience with the EarthSoft EQuIS platform (especially Enterprise, Data Processor, DQM, Collect, EDGE), including data loading, validation, and reporting environmental studies.
Strong environmental data literacy around the sample and data lifecycle: understanding of sampling plans, sampling points characteristics, sampling methods, soil description, analytes, detection limits, qualifiers, QA/QC routines, and regulatory requirements.
Technical background in environmental sciences, data management, or related fields, with the ability to communicate technical and data management concepts clearly.
Systemic, problem-solving and continuous improvement mindset, attention to detail, and a commitment to data quality and governance.
Key Responsibilities
Manage data governance processes and ensure adherence to ERM’s compliance standards for environmental data.
Oversee the data lifecycle and integrate data from laboratory, field, and historical sources as EDDs into ERM’s EQuIS™ databases and other data systems considering acquisition (field and lab), validation (EDP), QA/QC (internal protocols and DQM), archiving, and querying and reporting through EQuIS Enterprise, PowerBI API and Excel outputs in different formats.
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).
Apply Quality Assurance protocols, including completeness checks, duplicates, logical errors, unit/qualifier alignment, metadata management, issuing quality queries and reports for technical consultant assessments and managing reportable data in EQuIS for consumption in official querying and reporting.
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.
Required Qualifications
Bachelor’s or Master’s degree in Environmental Sciences, Data Management, Information Systems, Computer Science, or a related field (environmental background strongly preferred).
At least 3 years of experience in environmental data management and data quality roles, including hands-on experience with EarthSoft EQuIS modules: EDP, Data Manager/Enterprise, Collect, and EDGE.
Strong knowledge in EQuIS schema, data tables and structure, as well as on data management best practices.
Experience with QA/QC routines for environmental data (validation, qualifiers, non-detects, duplicates, holding times).
Active and effective English communication skills, with the ability to translate technical findings into actionable insights for project teams.
Ability to manage workload independently and adapt to changing deadlines.
Comfortable working in a computer-based, desk-oriented environment.
Preferred Qualifications
Experience with EQuIS Modules: SPM, DQM Format customization, DQM rule authoring, and Collect/EDGE form design.
Familiarity with Python scripting for ETL, QA automation, or data normalization.
Experience with programming languages such as R, Python, or similar.
Experience with GIS tools (ArcGIS/QGIS) for geospatial data visualization and mapping.
Intermediate skills in Power BI or Excel for environmental data visualization and reporting.
Knowledge in laboratory analytical methods and tests.
Knowledge of laboratory data systems, LIMS workflows, and electronic data deliverables (EDD/SEDD).
Exposure to cloud-based data platforms, SharePoint, or Power Automate for workflow integration.
