About The Position

We are seeking an experienced Performance Management and Performance Pay Team Lead to oversee federal performance management, compensation, and pay-pool activities supporting a federal intelligence agency in Springfield, Virginia. This individual will serve as the primary point of contact for the assigned program area and provide leadership across performance management and performance-based compensation activities. The ideal candidate brings extensive knowledge of federal performance management regulations, Defense Civilian Intelligence Personnel System compensation structures, data analysis, and pay-pool auditing.

Requirements

  • Bachelor’s degree or higher from an accredited institution in Human Resources, Business Administration, Public Administration, Management, or a related discipline
  • Active TS/SCI clearance with a current polygraph
  • Minimum of five years of relevant professional experience
  • At least three years of experience working with the Defense Civilian Intelligence Personnel System
  • At least two years of experience supporting senior-level performance management activities
  • Demonstrated experience applying federal performance management regulations
  • Knowledge of Defense Civilian Intelligence Personnel System compensation structures
  • Proven experience reviewing or auditing pay-pool calculations
  • Proficiency in data management, analysis, and modeling
  • Strong analytical skills with the ability to identify compensation and performance discrepancies
  • Ability to handle confidential salary, compensation, and employee performance information with a high degree of discretion
  • Strong leadership, communication, documentation, and stakeholder-management skills
  • Ability to communicate effectively with senior-level managers and executives
  • Ability to work full-time on-site in Springfield, Virginia

Nice To Haves

  • At least two years of supervisory experience leading a compensation or performance management team
  • Experience implementing process improvements within federal performance management systems
  • Experience supporting Intelligence Community Human Resources or compensation programs
  • Knowledge of pay-pool administration, performance-based compensation, and workforce analytics
  • Training or experience using artificial intelligence tools in Human Resources, performance management, compensation, or data analysis
  • Professional Human Resources certification, such as SHRM-CP, SHRM-SCP, PHR, SPHR, or a federal equivalent

Responsibilities

  • Serve as the primary point of contact for the assigned performance management and performance pay program area
  • Lead the day-to-day execution of federal performance management, compensation, and pay-pool activities
  • Provide guidance on federal performance management regulations, policies, procedures, and best practices
  • Support performance planning, monitoring, evaluation, rating, and closeout activities
  • Apply knowledge of Defense Civilian Intelligence Personnel System performance management and compensation requirements
  • Review and audit pay-pool calculations to ensure accuracy, consistency, and compliance
  • Analyze compensation and performance data to identify discrepancies, trends, risks, and opportunities for improvement
  • Develop and maintain data models, reports, trackers, and supporting documentation
  • Protect and appropriately handle confidential salary, compensation, and employee performance information
  • Identify and implement improvements to federal performance management processes and systems
  • Coordinate with Human Resources professionals, managers, executives, and other stakeholders to resolve performance and compensation matters
  • Provide clear guidance and recommendations to senior leaders and decision-makers
  • Develop and deliver executive-level reports, briefings, and program updates
  • Maintain effective, professional communication with senior-level managers, executives, and team members
  • Ensure assigned deliverables meet contractual quality, accuracy, and timeliness requirements
  • Apply artificial intelligence tools to relevant processes and analyses, as appropriate
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