EHS Manager - Systems, Data, and Analytics

Boeing•Renton, WA

3d•$127,500 - $172,500•Onsite

About The Position

We are seeking a highly collaborative and experienced Environment, Health, and Safety (EHS) Manager to lead a multidisciplinary team supporting EHS systems, analytics, and data and AI strategy and implementation in Renton, WA or Everett, WA. The position will manage team members focused on EHS systems including Enablon, OSSMS, and SHIELD, along with employees leading EHS data analytics, and AI strategy and implementation. The successful candidate will provide leadership across EHS systems, reporting, analytics, and data governance activities, while partnering closely with EHS leaders, Information Digital Technology & Security (IDT&S), Manufacturing and Safety, and other business functions to deliver scalable solutions that integrate AI and improve EHS performance, strengthen risk management, and support EHS decision-making. This leader must be able to work effectively across organizational boundaries, build strong partnerships, and create alignment among technical, operational, and EHS stakeholders. A solid baseline understanding of EHS processes, requirements, and compliance fundamentals is essential. This leader will thrive in a fast-paced environment, have a good baseline of systems and data management, and will be well integrated with the team.

Requirements

3+ years experience in Environment, Health, and Safety (EHS)
1+ year of experience in data analytics
1+ year of experience in working with Artificial Intelligence (AI)
3+ years of experience leading teams in a formal and/or informal role

Nice To Haves

Bachelor’s degree in Environmental Health and Safety, Engineering, Data Analytics, Information Systems, Business, or a related field.
8+ years of experience in EHS, EHS systems, data analytics, business systems, IDT&S, or a related discipline.
Experience with EHS platforms such as Enablon, OSSMS, SHIELD, or similar systems.
Experience leading or supporting EHS data strategy, analytics, or dashboard development.
Familiarity with high-risk prioritization metrics, leading indicators, and predictive insights.
Certificate or other formal training associated with AI, automation, or advanced analytics in an enterprise setting.
Knowledge of manufacturing, aerospace, or other highly regulated operational environments.
Experience managing change, training, and user adoption for enterprise systems and processes.
Familiarity with data quality, integration, and master data concepts.
Demonstrated experience leading teams or cross-functional workstreams in a complex enterprise environment.
Working knowledge of EHS processes, compliance requirements, and reporting practices.
Experience supporting or managing EHS systems, platforms, or digital tools.
Strong collaboration and influencing skills with the ability to work effectively across organizational boundaries.
Ability to translate business needs into operational plans and technology-enabled solutions.
Strong communication skills with the ability to engage technical and non-technical audiences.
Experience with data governance, reporting, analytics, or process improvement initiatives.

Responsibilities

Lead, coach, and develop a team of EHS systems, data, and analytics professionals.
Manage team members responsible for EHS systems, analytics, and AI strategy and implementation.
Lead a project working team focusing on AI implementation – members consist of EHS, IDT&S, Manufacturing and Safety other business passionate about implementing AI projects in support of EHS excellence.
Set clear priorities, goals, and performance expectations aligned to EHS and business objectives.
Foster a collaborative, inclusive, and high-performing team culture focused on innovation, transparency, accountability, and continuous improvement.
Support talent development, succession planning, and workforce capability building across systems, data, and analytics disciplines.
Oversee the administration, enhancement, and sustainment of key EHS platforms, including Enablon, OSSMS, and SHIELD, or similar systems.
Partner with process owners and IDT&S stakeholders to ensure systems support EHS business needs, compliance obligations, workflow efficiency, reporting requirements, and AI integration.
Guide the prioritization and implementation of system enhancements, issue resolution, and adoption of standard processes.
Ensure data integrity, configuration consistency, and effective integration across EHS systems and connected business applications.
Support system governance, release management, testing, and the change control processes.
Partner with IDT&S to lead the execution of the enterprise EHS data strategy, including data governance, data quality, data architecture alignment, and analytics and AI enablement.
Oversee development and sustainment of dashboards, scorecards, and analytics solutions that support EHS performance monitoring and operational decision-making.
Ensure timely, reliable, and meaningful reporting for EHS, business leaders, and other stakeholders.
Partner with data and analytics resources to identify leading indicators, trends, risk drivers, and opportunities for improvement.
Support the refinement of high-risk prioritization metrics to enable targeted interventions and resource allocation.
Work closely with EHS leaders, Manufacturing and Safety, IDT&S, and other business partners to align priorities and deliver solutions.
Serve as a trusted connector between EHS subject matter experts, system owners, and data/analytics teams.
Build strong relationships across organizational boundaries to drive adoption, resolve issues, and improve overall effectiveness.
Collaborate with technical and business teams to translate EHS needs into practical, scalable solutions.
Maintain a strong baseline understanding of EHS processes, requirements, and compliance expectations.
Ensure systems, data, and analytics solutions support core EHS processes.
Help standardize business processes and data definitions where appropriate to improve consistency and usability across the enterprise.
Support initiatives that improve safety, environmental, and sustainability performance by enabling better information and decision making.
Identify opportunities to streamline workflows, improve data quality, enhance user experience, and reduce manual effort.
Support the development and implementation of innovative capabilities, including AI-enabled and automation-enabled EHS use cases.
Promote a culture of continuous improvement by leveraging feedback, data insights, and process performance trends.
Lead or support transformation efforts that improve the scalability and sustainability of EHS digital capabilities.