Environmental Project Manager - Oak Ridge, TN
RSI · Oak Ridge, TN · 1 wk ago
Information TechnologyFull-time
Duties and Responsibilities
- Leads a small team of hydrogeologists and environmental scientists managing environmental cleanup projects for the DOE.
- Utilizes the earned value management system and/or project management principles to manage projects schedules and costs to ensure on-time delivery to the DOE customer.
- Prepares and peer reviews groundwater remedial investigation/design/action work plans, annual reports, and remedial action completion reports.
- Works with groundwater technical team and specialty subcontractors to design and evaluate active groundwater remedies. This includes design of groundwater monitoring networks to support site characterization and remedy performance.
- Facilitates the Data Quality Objective (DQO) process for groundwater projects, leading multidisciplinary teams in identifying data gaps and subsequently developing a work plan that addresses those data needs.
- Works closely with field sampling and well drilling teams to ensure data are collected in accordance with work plans.
- Evaluates data generated by field activities to provide detailed interpretations of subsurface stratigraphy/structure, groundwater flow conditions, and nature and extent of contamination.
- Mentors junior hydrogeologists and environmental scientists through regular interactions and peer review of their work products.
- Regularly presents to and collaborates with DOE clients, regulatory agencies and other DOE contractors.
Requirements and Education
- B.S. in Geoscience, Environmental Science or related physical science/engineering
- 5+ years of experience in groundwater investigation and/or remediation
- Strong technical writing and presentation skills
Preferred Requirements and Education
- M.S. or PhD in Geoscience, Environmental Science or related physical science/engineering
- 10+ years of experience in groundwater remediation
- Experience with Department of Energy cleanup projects
- Familiarity with numerical flow and transport models