Principal Consultant – Global AI & Data Services
About The Position
Lead the future of sustainability through data, analytics, and AI. At ERM, this role is not about incremental improvement—it is about defining how the world’s leading organizations use AI and data to solve their most complex environmental, health, safety, and sustainability challenges. As a Managing / Principal Consultant within Global AI & Data Services, you will operate at the intersection of strategy, technology, and impact—shaping solutions that matter at enterprise and global scale. Organizations are facing unprecedented expectations around sustainability, transparency, and digital maturity. AI and advanced data platforms are no longer “nice to have”—they are essential infrastructure for responsible growth. This role sits at the core of ERM’s digital strategy, enabling clients to turn complex environmental data into trusted insights, scalable systems, and intelligent decision‑making engines that drive real‑world outcomes.
Requirements
- Bachelor’s or Master’s degree in Data Analytics, Environmental Science, Computer Science, or a related field
- 6-8+ years of experience in data analytics, data engineering, environmental data management, or consulting
- Proven expertise in Power BI, Tableau, SQL, and Python
- Hands‑on experience with cloud platforms (Azure, AWS, GCP)
- Strong understanding of modern data architectures (e.g., Medallion Architecture) and data engineering best practices
- Excellent communication skills with the ability to engage technical and non‑technical stakeholders
- Strong project leadership and client engagement capabilities
- Valid driver’s license and good driving record
- Authorization to work in the United States without immigration sponsorship
Nice To Haves
- Experience delivering digital solutions within EHS, ESG, or sustainability domains
- CDMP, AWS, or Azure Data Engineer certification
- Experience with data governance tools (e.g., Alation, Collibra)
- Knowledge of ESG reporting frameworks and sustainability performance metrics
- Familiarity with Agile delivery models or Lean Six Sigma methodologies
- Experience building production‑grade ML, LLM, and agentic AI systems, including OCR, RAG, and tool/function calling
- Knowledge of MLOps/LLMOps, vector databases, AI security, and privacy
- Experience with environmental data platforms such as EQuIS, Enablon, or similar systems
Responsibilities
- Lead the design and delivery of advanced analytics, visualization, and AI solutions for global clients
- Develop interactive dashboards and insights using Power BI, Tableau, and Looker Studio
- Architect and oversee data integrations and migrations across platforms such as EQuIS, Enablon, and modern cloud environments (Azure, AWS, GCP)
- Design and maintain scalable data pipelines using SQL, Python, and ETL frameworks
- Partner with clients to define data models, governance frameworks, data quality, and security standards
- Design and implement agentic AI workflows and AI‑enabled use cases supporting EHS&S and sustainability objectives
- Support environmental data analysis across groundwater, surface water, air quality, and biological metrics
- Act as a trusted advisor to senior client stakeholders, translating business strategy into digital solutions
- Contribute to practice development, internal knowledge sharing, and innovation initiatives
Benefits
- paid time off
- parental leave
- medical, dental, vision, life, disability, AD&D insurance
- 401(k) or RRSP/DPSP
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
