Principal Consultant – Global AI & Data Services

## Principal Consultant – Global AI & Data Services Apply locations:
Houston, Texas:
Denver, Colorado:
Seattle, Washington:
Washington, DC:
Atlanta, Georgia time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
June 12, 2026 (13 days left to apply) job requisition :
R## Principal Consultant – Global AI & Data Services
** 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.##

## Why This Role Matters 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.##

## What Your Impact Is
* Influence how global organizations design and operationalize AI‐enabled EHS&S and ESG systems
* Shape enterprise‐grade data architectures, governance models, and analytics strategies
* Enable smarter, faster, and more defensible sustainability decisions through advanced analytics and agentic AI
* Mentor teams, elevate technical excellence, and help grow ERM’s Global AI & Data Services capability
* Build lasting client relationships rooted in trust, innovation, and measurable impact## ##

Key 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## ##

What You’ll Bring ### Required
* 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**### Preferred
* 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
**…