Endeavour. Inspired Infrastructure.

Controller

• Lead and develop a global accounting organization across multiple regions and legal entities.
• Oversee monthly, quarterly, and annual close processes to ensure timely, accurate financial reporting.
• Maintain compliance with U.S. GAAP, IFRS, and local statutory reporting requirements.
• Develop accounting policies, procedures, and internal controls across global operations to minimize risk.
• Manage intercompany accounting, consolidations, foreign currency transactions, and global reconciliations.
• Lead controllership and accounting activities for international construction projects, including coordination with joint venture partners.
• Partner with external accounting firms to optimize tax-advantaged strategies and support tax compliance across a multi-state and international platform.
• Serve as executive sponsor and finance lead for the implementation of a global ERP platform.
• Partner with IT, external consultants, and business stakeholders to define system requirements, accounting workflows, reporting structures, and control frameworks.
• Lead chart of accounts redesign, process mapping, data migration validation, user acceptance testing (UAT), and post-go-live stabilization.

Global Controller

Business Operations

• Configure tools, model data, work fluently inside business software, and contribute directly to ERP reporting and analytics delivery.
• Administer, configure, and improve our BI and reporting platforms (Power BI, Tableau, Loveable, Claude Design or similar). Build and maintain data models, semantic layers, DAX/SQL, dataflows, and dashboards.
• Help own reporting against our ERP, accounting, and supply chain systems. Configure integrations, design the data model, build reconciliations, and produce the financial, project, and supply chain reports the business runs on.
• Play an active, in-the-configuration role in the ongoing multi-system implementation. Partner with business architecture, IT, and functional leaders on the rollout of ERP and adjacent software supporting product development and sales.
• Contribute to business architecture work by mapping processes, data flows, and system boundaries across Finance, Supply Chain, Construction, Product Development, and Sales.
• Help define how data flows, evaluate platforms, and shape standards that scale, bringing an informed point of view to design and tooling decisions across the program.
• Standardize reporting across entities; implement automated data checks, controls, validation, and reconciliation across systems; establish and monitor KPIs. Diagnose and resolve data issues with a high bar for accuracy.
• Develop solid operational understanding of order-to-cash, procure-to-pay, project accounting, inventory, product development, and construction cost flows so reporting and system design reflect how the business actually runs.
• Help define and implement AI-enabled analytics, automation of recurring reports, and intelligent data pipelines. Apply AI/ML to forecasting, anomaly detection, and insight generation.
• Work directly with Finance for accurate, auditable reporting; coordinate with IT on architecture, access, and security; and translate analytics into clear decisions for operators across the portfolio and the implementation program.
• Drive adoption of analytics standards and data governance. Produce user guides, SOPs, data dictionaries, and training content.
• Stay current on analytics, ERP, and AI developments. Hold informed views on platform capabilities, trade-offs, and scalability, and be able to defend them with specifics from experience.
• Help set analytics standards and contribute to the roadmap, including AI adoption. Grow over time from individual contributor into a player-coach and people manager as the function scales, while remaining hands-on.

Manager, Business Systems – Analytics

Data Analyst

• Analytics Platform Management: Oversee the administration, maintenance, and continuous improvement of dataflows, dashboards, and reporting platforms across the organization’s entities to meet business needs and requirements.
• Strategic Alignment: Ensure the analytics and AI roadmap aligns with Edged strategic objectives and goals. Support continuous iteration based on business requirements and translate strategic priorities into a scalable analytics and AI adoption plan.
• Reporting & Data Quality: Design and standardize reporting across multiple companies, implement data checks, controls, validation, and reconciliation across systems, and establish performance metrics and benchmarks for KPIs and efficiency improvements.
• Cross-Functional Collaboration: Partner closely with Finance for accurate, auditable reporting, coordinate with IT on architecture, access, and security, and translate analytics into clear insights for business operators across the portfolio.
• Stakeholder Engagement: Educate and gain buy-in from key management stakeholders regarding analytics standards and data governance. Build relationships and collaborate with key stakeholders and teams to ensure delivery of commitments.
• Documentation: Prepare and present analytics and reporting documentation for stakeholders, including user guides, SOPs, data dictionaries, and training content.
• AI & Automation: Define and execute a clear path for the development, integration, and deployment of AI-enabled analytics, automation of recurring reports, and intelligent data pipelines, applying AI/ML concepts to forecasting, anomaly detection, and insight generation.
• Technology Trends: Stay informed about technology trends influencing analytics and AI, including both innovative and disruptive developments. Serve as an internal thought leader on responsible AI, data privacy, and modern analytics practices.
• Education and Communication: Educate internal teams and external partners on key analytics platforms and AI strategy, ensuring alignment with business requirements. Act as a trusted advisor guiding teams through the data and AI transformation journey.
• Team Leadership & Growth: Set analytics standards and best practices, own the analytics roadmap including AI adoption, and progress from individual contributor to team lead and people manager — managing workload, priorities, and team development as the function scales.

Analytics Manager

Human Resources

• Serve as the HR leader for ThermalWorks, partnering closely with company leadership and the Endeavour HR team to support organizational priorities and business growth.
• Develop and execute HR strategies, programs, and initiatives aligned with business objectives and Endeavour’s people practices.
• Partner with leadership on workforce planning, organizational design, succession planning, and talent development initiatives.
• Lead full-cycle recruitment efforts for ThermalWorks, helping attract, engage, and retain high-performing talent in partnership with Endeavour’s Talent team.
• Advise managers and employees on employee relations matters, performance management, coaching, conflict resolution, and workplace policies.
• Foster a positive, inclusive, and high-accountability culture aligned with the organization’s values.
• Oversee performance management processes, including goal setting, performance reviews, feedback practices, and employee development planning.
• Identify training and leadership development opportunities to strengthen employee capability and support career growth.
• Ensure compliance with all applicable federal, state, and local employment laws and maintain HR policies and practices accordingly.
• Partner with Endeavour HR and business operations teams on compensation, benefits administration, HR systems, reporting, and broader people initiatives, such as the ecosystem-wide intern program.
• Analyze HR metrics and organizational data to identify trends, improve processes, and support data-driven decision-making.
• Support change management initiatives and help guide the organization through periods of growth and evolution.
• Maintain a high level of discretion and professionalism in handling sensitive employee and business matters.

Director, Human Resources

Security Engineer

• Lead security operations initiatives focused on securing modern software development pipelines, CI/CD platforms, and cloud-native DevOps environments.
• Partner with engineering and DevOps teams to embed security controls into the Software Development Life Cycle (SDLC) using Dev/SecOps best practices.
• Design, implement, and monitor security controls for source code repositories, build systems, artifact management platforms, and deployment pipelines.
• Conduct threat modeling, risk assessments, application pen testing, and security reviews for internally developed applications, APIs, and automation platforms.
• Develop and maintain detection and response capabilities for software supply chain threats, credential misuse, pipeline compromise, and cloud workload attacks.
• Manage vulnerability management processes for applications, containers, infrastructure-as-code, open-source dependencies, and CI/CD tooling.
• Implement automated security scanning tools including SAST, DAST, SCA, IaC scanning, and container security solutions.
• Monitor security events across cloud platforms, developer tooling, SaaS environments, and production systems using SIEM/XDR technologies.
• Investigate and respond to security incidents involving applications, DevOps tooling, cloud environments, and identity platforms.
• Establish security standards for AI/ML systems including model governance, secure API usage, data protection, and responsible AI controls.
• Assess and mitigate emerging AI-related risks such as prompt injection, model abuse, data leakage, shadow AI usage, and unauthorized automation.
• Evaluate, implement, and secure enterprise AI tools to improve SecOps efficiency, threat detection, alert triage, and incident response workflows.
• Build automation scripts and workflows to streamline repetitive security operations tasks and improve response times.
• Collaborate with developers to remediate security findings quickly while balancing operational efficiency and release velocity.
• Create dashboards, metrics, and reporting for security posture across DevOps pipelines, application environments, and AI platforms.
• Stay current on evolving threats related to software supply chain security, cloud platforms, DevOps ecosystems, and artificial intelligence technologies.
• Other duties as assigned.

Senior Security Engineer

Cloud Engineer

• Define and maintain the enterprise architecture strategy, standards, and roadmaps for business intelligence, software engineering, DevOps, cloud platforms, and AI capabilities aligned to business goals.
• Lead the design of scalable, secure, and resilient application architectures across on-premises, hybrid, and cloud environments.
• Establish engineering best practices for modern software delivery, including microservices, APIs, event-driven architecture, and platform engineering.
• Create governance frameworks and architectural guardrails to ensure compliance, cybersecurity, scalability, cost optimization, and technical consistency.
• Architect enterprise AI & business intelligence solutions including machine learning, generative AI, copilots, intelligent automation, and data-driven decision support systems.
• Define AI integration patterns for business applications, APIs, data platforms, and workflow automation tools.
• Ensure responsible AI practices including model governance, privacy, security, explainability, and risk management as pertains to enterprise architecture strategy.
• Collaborate with data engineering and analytics teams to establish architectures supporting data pipelines, model training, inference, and MLOps processes.
• Lead modernization efforts for legacy applications through re-platforming, refactoring, containerization, and cloud migration strategies.
• Provide technical leadership, mentoring, and architectural guidance to business stakeholders, engineers, architects, and delivery teams.
• Develop reference architectures, technical standards, and reusable patterns that accelerate delivery across the enterprise.
• Facilitate architecture reviews, solution assessments, and technology selection processes for major initiatives.
• Monitor industry trends and benchmark enterprise capabilities in software engineering, DevOps maturity, cloud adoption, and AI innovation.
• Influence executive stakeholders by translating complex technical concepts into business value, investment priorities, and transformation roadmaps.
• Support vendor evaluations, contract reviews, and strategic partnerships for enterprise technology platforms and AI solutions.
• Other duties as assigned.

Global Controller

Manager, Business Systems – Analytics

Analytics Manager

Director, Human Resources

Senior Security Engineer

Systems & AI Cloud Architect