Data Manager

Data Manager

Why This Role Matters

We’reseeking a detail-oriented Data Manager to ensure the integrity and reliability ofenvironmental qualitydata using theEarthSoftEQuISsuite. Your work will enableaccurateanalytics 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 regulatoryand internalstandards. By collaborating with cross-functional teams and interfacing with laboratories,you’lldeliver high-quality datasets that support technical consultants in producing analyses, maps, and models forenvironmental quality studies.

WhatYou’llBring

• Hands-on experience with theEarthSoftEQuISplatform (especiallyEnterprise, Data Processor, DQM, Collect, EDGE), including data loading, validation, and reportingenvironmental studies.

• Strong environmental data literacyaround the sample and data lifecycle: understanding of sampling plans, samplingpointscharacteristics, 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-solvingand continuous improvementmindset, 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 lifecycleandintegratedata from laboratory, field, and historical sourcesas EDDsinto ERM’sEQuIS™ databases and other data systemsconsideringacquisition (field and lab), validation (EDP), QA/QC (internal protocols andDQM), archiving, andquerying andreportingthroughEQuISEnterprise,PowerBIAPIandExcel outputs in different formats.

• Collaborate with internal teams and laboratories toplan and prepare for sampling rounds andensuretimelyandaccuratedata delivery, including troubleshooting EDD/EDP errors and supporting field data collection (Collect/EDGE).

• Apply QualityAssurance protocols, including completeness checks, duplicates, logical errors, unit/qualifier alignment, metadata management, issuing quality queries and reports for technical consultant assessmentsandmanaging reportabledata inEQuISfor consumption in official querying and reporting.

• Support enterprise analytics and reporting by providing clean, structured datasets and generating standardEQuISreports and Power BI/Excel summariesor preparing EQUIS outputs for 3D modelling in EVS or in GIS formats.

Required Qualifications

• Bachelor’s orMaster’s degree in Environmental Sciences, Data Management, Information Systems, Computer Science, or a related field (environmental background strongly preferred).

• At least3years of experience in environmental data management and data quality roles, including hands-on experience withEarthSoftEQuISmodules: EDP, Data Manager/Enterprise, Collect, and EDGE.

• Strong knowledge inEQuISschema, datatablesand 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 withEQuISModules: SPM,DQMFormat 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 datavisualizationand 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.