Contingent Workforce Manager

Responsibilities:

• Strategic Planning: Develop and implement strategies for optimizing the contingent workforce program, aligning with organizational goals and industry best practices.
• Vendor Management: Establish and maintain relationships with contingent workforce vendors and monitor performance metrics to ensure service level agreements are met.
• Program Administration: Manage the end-to-end process of contingent workforce management, including requisition approval, and onboarding/offboarding.
• Performance Analysis: Utilize data analytics and reporting tools to evaluate the effectiveness of the contingent workforce program, identify areas for improvement, and make data-driven recommendations.
• Risk Management: Identify potential risks associated with contingent labor and implement mitigation strategies to minimize legal and financial exposure.
• Stakeholder Collaboration: Collaborate with internal stakeholders, including HR, Legal, Finance, and hiring managers, to understand workforce needs and ensure alignment with contingent labor strategies.
• Continuous Improvement: Proactively seek opportunities to enhance the efficiency and effectiveness of the contingent workforce program through process improvements, technology enhancements, and training initiatives.
• Budget Management: Monitor and control costs associated with contingent labor, ensuring adherence to budgetary constraints while optimizing resource utilization.

Qualifications:

• Proven experience in contingent workforce management
• Understanding of labor laws, regulations, and compliance requirements pertaining to contingent labor.
• Strong analytical skills, with the ability to interpret data and derive actionable insights.
• Excellent communication and negotiation skills, with the ability to build rapport and influence stakeholders at all levels.
• Demonstrated proficiency in vendor management, contract negotiation, and performance evaluation.
• Familiarity with workforce management systems, vendor management systems (VMS), and other relevant technology platforms.
• Ability to thrive in a fast-paced environment, managing multiple priorities and deadlines effectively.

Education:

• Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.