Principal Technical Consultant, EHS Program & Data Manager

ERM•Walnut Creek, CA

9h•Hybrid

About The Position

ERM is seeking a Technical Principal Consultant, EHS Data & Analytics Manager based in California to lead complex environmental, health, and safety (EHS) data programs across North America. In this role, you will shape how organizations leverage data to make smarter, faster environmental decisions—delivering scalable analytics solutions, strengthening governance, and enabling actionable insights at every level of the business. This role sits at the intersection of sustainability, data, and decision-making. You will help clients design and operationalize high-impact EHS data programs that not only ensure regulatory compliance but also unlock strategic value. By aligning stakeholders, modernizing data ecosystems, and delivering clear insights, you will directly influence environmental performance and business outcomes.

Requirements

Bachelor’s degree in Environmental Science, Business Administration, Information Technology, Business Analytics, or a related field or (two - 2 years for each year of education equal to 8 years minimum) equivalent experience.
6+ years of experience in data architecture, information systems, analytics, or related operational program leadership roles.
Demonstrated success managing cross-functional data or analytics programs in consulting, enterprise, or client-service environments.
Experience leading agile/scrum teams and sprint-based delivery models.
Proficiency in Tableau and/or Power BI for dashboard development and storytelling.
Working knowledge of SQL and Python for data querying and automation.
Advanced Microsoft Excel skills; proficiency with Microsoft Office Suite.
Strong analytical mindset with the ability to translate complex datasets into actionable insights.
Exceptional communication skills across technical and non-technical audiences.
Proven ability to manage multiple priorities and adapt to changing deadlines.
Collaborative, pragmatic, and results-oriented approach.

Nice To Haves

Familiarity with EHS data management platforms (e.g., EQuIS) preferred.
Exposure to Salesforce, BusinessObjects, or similar platforms is advantageous.
Experience with CRISP-DM, process mining, or decision modeling is a plus.

Responsibilities

Lead EHS data management engagements end-to-end: define scope, manage budgets and schedules, coordinate technical teams, and ensure quality across all deliverables.
Drive sprint planning, stand-ups, and agile workflows across data and analytics workstreams, keeping projects on track and stakeholders aligned.
Develop proposals and scopes of work for environmental and EHS data management services; present findings and recommendations directly to client leadership.
Build and maintain strong client and partner relationships, serving as a trusted advisor on data strategy and EHS program improvement.
Coach and mentor junior analysts and technical staff; foster a collaborative, high-performance team culture.
Bring a pragmatic, solutions-oriented mindset with a bias toward scalable answers.
Anticipate evolving needs for data structures and conventions across programs.
Synthesize fragmented inputs into decision-ready outputs.
Apply practitioner-level fluency with AI as a system-building tool.
Facilitate cross-cultural collaboration across global stakeholders, geographies, and time zones.
Support onboarding and development of technical project managers; take PM responsibility for defined scope areas as needed.
Administer EHS datasets across the full lifecycle—collection, validation, transformation, storage, and reporting—ensuring integrity and regulatory compliance.
Design scalable data structures that support program growth while maintaining usability and efficiency.
Own data hygiene, standards, metadata, and definitions to ensure consistency and accuracy.
Build dashboards and automated reporting solutions (Tableau, Power BI) to surface performance trends and enable decision-making.
Develop simulation and optimization models to improve EHS program outcomes.
Deliver reporting cadences (daily through quarterly) and ad hoc analyses to track progress, identify risks, and evaluate effectiveness.
Use SQL, Python, or similar tools to automate workflows and enhance data accessibility.
Partner with ERM client teams to solve complex challenges and improve performance outcomes.
Collaborate with ERM Technical Communities to scale innovative EHS analytics offerings.