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Rowan Digital Infrastructure

Sustainable data center development for hyperscale

Safety Systems & Analytics Manager

Environmental Health & SafetyConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A bachelor's degree in occupational safety, Environmental Health & Safety, Engineering, Construction Management, Data Analytics, Business, Information Systems, or a related field is preferred.
  • At least 5 years of relevant experience in safety, safety systems, program development, analytics, process improvement, or a related discipline.
  • Strong understanding of safety programs, risk management, field safety processes, and practical implementation and execution of safety programs.
  • Experience developing or improving safety programs, processes, systems, dashboards, or reporting tools.
  • Strong analytical and problem-solving skills, including the ability to translate data into meaningful insights.
  • Demonstrated interest and capability in using technology, artificial intelligence, automation, and data visualization to solve business problems.
  • Strong systems-thinking and continuous-improvement mindset.
  • Ability to communicate effectively with field teams and leadership and translate operational needs into practical solutions.
  • Strong collaboration, organization, and project-management skills.

Responsibilities

  • Develop, implement, and continuously improve systems and digital tools that support safety programs and field execution.
  • Translate safety program requirements and business needs into practical workflows, forms, dashboards, reporting tools, and system solutions.
  • Serve as a functional resource for safety technology platforms and ensure tools support how safety work is performed in the field.
  • Identify opportunities to connect and streamline safety systems, reducing duplicate data entry and administrative burden.
  • Support implementation, adoption, and continuous improvement of new safety technologies and digital solutions.
  • Partner with internal stakeholders to ensure systems are scalable and aligned with broader business processes.
  • Develop and maintain dashboards, scorecards, key performance indicators, and reporting tools that provide visibility into safety performance and risk.
  • Analyze data across incidents, observations, inspections, critical controls, corrective actions, contractor performance, and other safety programs.
  • Identify trends, recurring exposures, emerging risks, and systemic improvement opportunities.
  • Translate complex safety data into clear insights and recommendations for Safety, project, operational, and executive leadership.
  • Develop leading indicators that help the organization understand where risk may be emerging and where action is needed.
  • Improve the accessibility and usability of safety information to enable timely, risk-based decision-making.
  • Identify practical opportunities to use artificial intelligence, automation, and emerging technologies to strengthen safety programs and decision-making.
  • Use artificial-intelligence-enabled tools for trend analysis, pattern identification, data summarization, risk identification, and development of actionable insights.
  • Develop tools and solutions that reduce repetitive administrative activities and enable safety professionals to focus on risk and field engagement.
  • Explore opportunities to enhance dashboards and analytics with artificial-intelligence-supported insights and decision-support capabilities.
  • Partner with business functions to responsibly test, implement, and scale emerging technologies.
  • Promote innovation and continuous improvement in how the Safety organization uses technology and information.
  • Support development, implementation, and continuous improvement of scalable safety programs and processes.
  • Apply safety-management knowledge to ensure programs, systems, and tools support field execution.
  • Translate strategic safety initiatives into repeatable workflows, processes, tools, templates, and performance measures.
  • Map current-state processes, identify gaps or inefficiencies, and develop improved future-state processes.
  • Establish clear workflows, roles, handoffs, and accountability within safety processes.
  • Develop tools and measures to evaluate program adoption, effectiveness, and outcomes.
  • Standardize safety processes across projects and operations while allowing appropriate flexibility based on risk and business needs.
  • Establish and maintain consistent safety data definitions, reporting expectations, and data-quality standards.
  • Identify gaps in data capture and develop solutions that improve completeness, accuracy, and consistency.
  • Support development of portfolio-level safety performance measures and reporting.
  • Partner with Safety leadership to establish meaningful leading and lagging indicators aligned with strategic priorities.
  • Improve integration and visibility of data across multiple safety programs and platforms.
  • Support recurring business reviews and leadership discussions with clear, reliable performance insights.
  • Identify opportunities to simplify, standardize, automate, and improve safety processes.
  • Use data, field feedback, lessons learned, and performance trends to drive continuous improvement.
  • Partner across Construction, Commissioning, Operations, and other business functions to integrate safety into broader organizational processes.
  • Support implementation and change management associated with new programs, systems, dashboards, and processes.
  • Measure the effectiveness of improvements and adjust approaches based on results.
  • Develop scalable solutions that support organizational growth from construction through commissioning and operations.
  • Partner with Safety, Construction, Commissioning, Operations, IT, and other business functions to understand needs and develop effective solutions.
  • Bridge safety subject-matter expertise, business processes, data, and technology.
  • Facilitate discussions to define requirements, improve workflows, and solve operational challenges.
  • Support Safety leadership with analysis, reporting, and tools for strategic and operational decision-making.
  • Promote consistent use and adoption of safety systems, processes, and analytical tools across the organization.

Desired Qualifications

  • Bilingual ability is highly desired.
  • Experience in construction, data centers, mission-critical environments, industrial operations, or other complex safety environments is preferred.
  • Experience with Power BI, Smartsheet, Procore, Mitti (formerly SafetyCulture), Highwire, Airtable, or similar safety, analytics, and workflow platforms is beneficial.
  • Familiarity with Serious Injury and Fatality prevention, critical controls, contractor safety, incident management, corrective action processes, continuous-improvement methodologies, and artificial-intelligence-enabled analytics or business tools is preferred.

About the Company

Rowan Digital Infrastructure

Sustainable data center development for hyperscale

Rowan Digital Infrastructure builds sustainable data center campuses in the United States for hyperscale AI and cloud clients, offering powered shells and turnkey build-to-suit campuses. It manages the entire development lifecycle—from site selection and land acquisition to power procurement, permitting, design, and construction—to de-risk and accelerate delivery. The projects emphasize sustainability, pursuing high-performance standards like BREEAM and LEED, with energy procurement, water conservation, and lifecycle carbon assessments guiding decisions. The goal is to scale data center capacity for major customers while helping them meet carbon-reduction targets, supported by significant financing from investors such as Quinbrook and Blackstone.

Company size
201-500
Company stage
Debt Financing
Total funding
$6.4B
Headquarters
Denver, CO
Founded
2020

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