Data Manager ensuring the integrity and reliability of environmental quality data for ERM. Overseeing data lifecycle and collaborating with teams to deliver high-quality datasets.
Responsibilities
Oversee the entire environmental data lifecycle—from field and laboratory acquisition, through validation and QA/QC, to secure storage and reporting.
Collaborate with cross-functional teams and interfacing with laboratories to deliver high-quality datasets.
Manage data governance processes and ensure adherence to ERM’s compliance standards for environmental data.
Integrate data from laboratory, field, and historical sources as EDDs into ERM’s EQuIS ™ databases and other data systems.
Collaborate with internal teams and laboratories to plan and prepare for sampling rounds and ensure timely and accurate data delivery.
Apply Quality Assurance protocols, including completeness checks, duplicates, logical errors, and metadata management.
Requirements
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.
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