Data Manager

About Us

ERM is the world’s largest specialist sustainability consultancy, with over 50 years of experience helping organisations navigate complex environmental, social, and governance challenges. We bring together a global community of experts to deliver meaningful impact for our clients and the planet.

Our Consulting Delivery Hub (CDH) in India is a critical part of ERM’s global consulting model enabling scalable, high-quality delivery across regions and service lines. CDH teams work in close partnership with regional consultants to support global client projects, providing specialist expertise, driving consistency, and enhancing delivery efficiency across our most important programmes.

As part of the Consulting Delivery Hub, you will collaborate with colleagues worldwide, contribute to complex sustainability projects, and play a key role in shaping the future of global consulting delivery.

Why This Role Matters 

As a Data Manager, you will support ERM's global consulting delivery by managing environmental quality data throughout its lifecycle within the EarthSoft EQuIS suite. You will work with technical consultants, laboratories, and project teams to ensure accurate, reliable, and compliant datasets that support environmental assessments and reporting. This role is critical to enabling data-driven decision-making, maintaining data integrity, and delivering high-quality outcomes for ERM's clients.

What Your Impact Is 

• Ensure the accuracy, quality, and traceability of environmental data by managing the full data lifecycle from acquisition and validation through storage, reporting, and archiving.

• Deliver reliable and compliant datasets by applying rigorous QA/QC processes and adhering to regulatory, client, and ERM data management standards.

• Enable efficient project delivery by collaborating with laboratories, field teams, and technical consultants to coordinate data collection, processing, and issue resolution.

• Support high-quality environmental assessments by providing well-organized datasets that underpin technical analyses, mapping, modelling, and reporting activities.

What You’ll Bring 

• 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. 

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.