Principal Consultant - Global AI & Data Services

Principal Consultant – Global AI & Data Services Lead the future of sustainability through data, analytics, and AI. 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. Why This Role Matters AI and advanced data platforms 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. Key Responsibilities Lead the design and delivery of advanced analytics, visualization, and AI solutions for global clients. Develop interactive dashboards and insights using PowerBI, 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. What You’ll Bring 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 PowerBI, 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. Preferred: Experience delivering digital solutions within EHS, ESG, or sustainability domains. Preferred: CDMP, AWS, or Azure Data Engineer certification. Preferred: Experience with data governance tools (e.g., Alation, Collibra). Preferred: Knowledge of ESG reporting frameworks and sustainability performance metrics. Preferred: Familiarity with Agile delivery models or Lean Six Sigma methodologies. Preferred: Experience building production‑grade ML, LLM, and agentic AI systems, including OCR, RAG, and tool/function calling. Preferred: Knowledge of MLOps/LLMOps, vector databases, AI security, and privacy. Preferred: Experience with environmental data platforms such as EQuIS, Enablon, or similar systems. Compensation & Benefits The anticipated annual base pay is $140,000–$155,000USD. Actual pay may depend on education, experience, skills, location, performance, and business needs. The role may be eligible for bonus pay. Benefits include paid time off, parental leave, medical, dental, vision, life, disability, and AD&D insurance, 401(k), RRSP/DPSP, and other applicable benefits. Equal Opportunity Employment ERG is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #J-18808-Ljbffr Environmental Resources Management (ERM)