Environmental Data Management Lead — EQuIS & Analytics

CDM Smith; Warwick (RI); On-site; USD 91,000 - 160,000; Full time

Job summary

CDM Smith is seeking an Environmental Data Management Discipline Leader to advance the firm’s capabilities across ESG programs. You will drive strategic direction for environmental data platforms, including EQuIS, and elevate data governance, validation, and analytics.

This national leadership role focuses on scalable workflows, project delivery, regulatory compliance, and defensible decision-making, with collaboration across GIS, analytics, and IT teams.

Qualifications

• Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required.
• Equivalent additional directly related experience will be considered in lieu of a degree.
• Demonstrated experience with EQuIS or comparable environmental data management platforms, including database setup, EDD management, data loading, reporting, QA/QC, and/or validation workflows.

Responsibilities

• Provide national leadership for environmental data management across ESG programs, including strategy, standards, workflows, training, and technical support.
• Develop, implement, and maintain data governance frameworks, SOPs, templates, and guidance documents for environmental data management.
• Lead the development and improvement of defensible data validation and QA/QC workflows, including the EQuIS Data Qualification Module tools.

Skills

Environmental data management

Leadership

EQuIS

Power BI

Education

Bachelor's degree

Advanced degree

Tools

EQuIS

Power BI

SharePoint

Job description

CDM Smith is seeking an Environmental Data Management Discipline Leader to advance the firm’s capabilities across ESG programs. You will drive strategic direction for environmental data platforms, including EQuIS, and elevate data governance, validation, and analytics.

This national leadership role focuses on scalable workflows, project delivery, regulatory compliance, and defensible decision-making, with collaboration across GIS, analytics, and IT teams.