Senior Air Quality Technical Lead
AECOM
- Location
- Calgary, AB, Canada
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Salary
- C$120k – C$160k/yr
- Posted
- 5h ago
Skills
About this role
Senior Air Quality Technical Lead Full-time State/Province: Alberta Business Group: DCS Legal Entity: AECOM Canada ULC Business Line: Environment Work Location Model: Hybrid Operating Group: Americas Primary Location: CA - Calgary, AB - 48 Quarry Park Bl Compensation: CAD 120000 - CAD 160000 - yearly Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description 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. Qualifications Minimum Qualifications • Bachelor’s degree in Environmental Science, Engineering, or a related field. • 8+ years of relevant experience in air quality analysis, dispersion modeling, project management, technical writing, proposal preparation, and environmental compliance OR demonstrated equivalency of education and experience. Preferred Qualifications • Master’s degree in Environmental Science, Engineering, or a related field. •15+ years of experience in air quality analysis, including advanced dispersion modeling. • Excellent written and