Director, EPMO Resource Optimization - Remote

Worldwide Clinical Trials; United States; Remote; USD 142,000 - 282,000; Full time

Job summary

Worldwide Clinical Trials is seeking a Director, EPMO Resource Optimization to shape how the organization optimizes its global workforce for productivity and delivery efficiency. You will lead enterprise-wide initiatives, develop strategies, and drive measurable improvements across operations and delivery teams.

You will collaborate with Finance, HR, IT, and other functions to validate assumptions, quantify impact, and implement scalable optimization practices.

Qualifications

• Bachelor's degree in Finance, Economics, Accounting, Business Administration, Organizational Development, Engineering, or a related field required; Master’s degree preferred.
• Minimum of 10 years of experience in resource optimization, business transformation, management consulting, or related discipline, including at least 5 years advising large, complex organizations on workforce strategy or organizational transformation.
• Proven ability to design and lead structured labor optimization programs that deliver measurable business outcomes.
• Deep expertise in financial modeling related to labor efficiency, productivity improvement, cost savings, cost avoidance, and value realization.
• Strong knowledge of workforce strategy, organizational effectiveness, operational excellence, and global delivery models.
• Proven ability to influence and collaborate with senior leaders across Operations, Human Resources, Finance, IT, and other business functions.
• Experience applying change management principles within complex organizations and driving alignment from frontline teams through executive leadership.
• Proficiency in English; strong written, verbal, and presentation communication skills. Familiarity with AI and automation technologies and their application to workforce optimization is highly desirable.

Responsibilities

• Develop and implement an enterprise-wide resource optimization strategy and playbook focused on labor efficiency, productivity improvement, and global delivery optimization.
• Establish scalable methodologies, frameworks, and best practices that improve workforce effectiveness and operational performance across the organization.
• Identify, evaluate, and prioritize opportunities to optimize capacity, improve resource alignment, and enhance delivery outcomes.
• Leverage data, automation, technology, and AI-enabled solutions to advance resource optimization initiatives and drive business value.
• Build and manage financial models that size opportunities, establish targets, and measure productivity gains, cost avoidance, and realized value.
• Partner with Finance and Human Resources to validate assumptions, track benefits realization, and quantify business impact.
• Drive the development of dashboards and reporting tools that provide visibility into initiative progress, key metrics, and outcomes.
• Lead cross-functional execution by aligning stakeholders, removing barriers, accelerating implementation, and driving accountability for results.
• Facilitate enterprise-wide communication and coordination to ensure the successful delivery of strategic transformation initiatives.

Skills

Resource optimization

Labor optimization

Financial modeling

Change management

Cross-functional leadership

Executive stakeholder engagement

Data-driven decision making

English proficiency

Education

Bachelor's degree in Finance, Economics, Accounting, Business Administration, Organizational Development, Engineering, or related field

Master's degree preferred

Tools

Dashboards

Reporting tools

Job description

Worldwide Clinical Trials is seeking a Director, EPMO Resource Optimization to shape how the organization optimizes its global workforce for productivity and delivery efficiency. You will lead enterprise-wide initiatives, develop strategies, and drive measurable improvements across operations and delivery teams.

You will collaborate with Finance, HR, IT, and other functions to validate assumptions, quantify impact, and implement scalable optimization practices.