Chief Environmental Data Analytics Leader

CDM Smith; Montpelier (VT); Sur place; USD 121 000 - 212 000; Plein temps

Résumé du poste

CDM Smith seeks an Environmental Data Analytics Discipline Leader to guide analytics across environmental services, working with digital teams and business development to deliver innovative solutions for complex client projects. The role focuses on leveraging data analytics to enhance environmental capabilities and coordinate with engineers, scientists, and technicians.

The candidate will drive IP/R&D investments, manage analytics-related ideas, and build a team of practitioners while engaging

Qualifications

• Bachelor's degree required; 12 years of related experience or equivalent.
• Strong knowledge of environmental analytics and data analytics.
• Excellent written and verbal communication skills; ability to collaborate across teams.

Responsabilités

• Evaluate data analytics technologies and platforms for environmental data across multiple applications.
• Collaborate with sales and digital teams to design and deliver analytics solutions.
• Work with local, national, and international technical teams to expand capabilities.
• Develop processes for evaluating ideas and investments in analytics tools and technologies.
• Support marketing and business development initiatives related to environmental data analytics.
• Identify conferences and working groups to enhance technical visibility and client engagement.

Connaissances

Data analytics

Environmental analytics

Leadership

Communication

Formation

Bachelor's degree in engineering or science

Outils

Python

R

Tableau

Description du poste

CDM Smith seeks an Environmental Data Analytics Discipline Leader to guide analytics across environmental services, working with digital teams and business development to deliver innovative solutions for complex client projects. The role focuses on leveraging data analytics to enhance environmental capabilities and coordinate with engineers, scientists, and technicians.

The candidate will drive IP/R&D investments, manage analytics-related ideas, and build a team of practitioners while engaging