Senior Air Quality Technical Lead at AECOM2

AECOM is seeking an experienced Senior Air Quality Consultant to support advanced ambient air quality studies and regulatory compliance projects. The selected candidate will contribute expertise in air dispersion modeling, emissions management, and permitting for clients across multiple sectors, while collaborating with multidisciplinary teams to solve complex air quality challenges. Key Responsibilities Business Development • Lead business development and proposal efforts using strong technical expertise and industry contacts, particularly in the energy and oil & gas sectors. Compliance (Permitting, NPRI, GHG, AEIR, etc.) • Apply working knowledge of relevant air quality regulatory programs, guidelines, and best practices. • Manage air quality assessment components of permits and environmental assessments. • Liaise with provincial and federal regulators for submissions and permit applications. Air Emission Inventory & Dispersion Modeling • Prepare high-quality air quality assessment reports for permits and environmental assessments. • Manage dispersion modeling using AERMOD, CALPUFF, and CAL3QHCR. • Estimate emissions (GHG, CACs, and other pollutants) using site data, emission factors, and US EPA MOVES. • Interpret modeling results and compare them with applicable regulations. Ambient Air Monitoring • Oversee installation, maintenance, and decommissioning of monitoring equipment. • Coordinate with suppliers and labs for performance checks and calibration. • Manage data collection, troubleshoot issues, and ensure data quality. • Lead development of air quality monitoring and management plans. Research & Technical Expertise • Investigate industrial processes and emissions in sectors such as oil and gas, transportation, and chemicals. • Recommend air pollution control measures and compliance strategies. Collaboration & Process Optimization • Work closely with internal teams and clients to meet project objectives. • Mentor junior staff and contribute to business development initiatives. • Support automation of data workflows using tools such as Python or R.