Total Rewards Enablement Lead

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges in science, security and sustainability. Our people apply undaunted curiosity, relentless ambition and boundless imagination to challenge convention and drive progress. Our commitments are underpinned by the belief that safety, collaboration and well-being are integral to success. Headquartered in Chantilly, Virginia, we have approximately 50,000 employees in more than 70 countries across all 7 continents.

The Sr. Analyst, Rewards Enablement is a key role within the Total Rewards (TR) function, responsible for building and scaling the analytical, data, and process infrastructure that underpins compensation programs across the enterprise. Operating at the intersection of Compensation, HRIS, Finance, and People Analytics, this role translates Total Rewards strategy into tools, models, and systems that drive consistent, defensible, and data-driven decision-making.

This role is critical to stabilizing operations, improving data integrity, and enabling more efficient and scalable processes. It also creates capacity for the broader Total Rewards function to focus on strategic priorities, including program harmonization, pay structure development, and global alignment, while advancing system optimization in the absence of near-term enterprise technology. This position is remote telework and requires US Citizenship.

Key Responsibilities:

• Build and maintain advanced analytical models to support pay range development, including variable selection, model testing, and ongoing recalibration as market data and organizational structures evolve
• Develop regression-based tools and statistical models to validate and enhance pay range accuracy, ensuring alignment with internal job architecture and external market data
• Analyze pay outcomes (e.g., distribution, compression, range penetration) to identify trends, risks, and opportunities, and provide data-driven insights to inform compensation decisions
• Design and maintain scalable compensation data structures and databases, integrating multiple survey sources and ensuring data consistency across geographies and business units
• Develop tools and modeling capabilities that support job pricing processes, improving efficiency, consistency, and defensibility without owning pricing decisions
• Support compensation planning cycles (merit, bonus, equity) through scenario modeling, cost forecasting, and data-driven insights
• Create dashboards and reporting solutions that translate complex compensation data into clear, actionable insights for HR, Finance, and business leaders
• Conduct advanced analytics, including pay equity analysis and “what-if” scenario modeling, to support strategic decision-making
• Partner with Compensation, HRIS, and IT to translate analytical outputs into system logic, reports, and calculated fields within Workday and related platforms
• Support system optimization and enhancements by defining requirements, testing outputs, and validating compensation-related data flows
• Identify and implement opportunities to automate manual processes, improving scalability, accuracy, and operational efficiency
• Apply rigorous data validation and quality control processes to ensure compensation data integrity across systems and reporting outputs

Knowledge, Skills and Abilities:

• Strong project management skills, with the ability to manage multiple priorities in a fast-paced, global environment, PMP strongly desirable.
• Strong expertise in statistical modeling and quantitative analysis, including regression techniques used for pay range development and validation
• Demonstrated ability to build and maintain scalable data models, tools, and databases that support compensation processes
• Strong understanding of data governance, data validation, and quality control practices
• Proven ability to translate complex data into clear, actionable insights for HR, Finance, and business leaders
• Excellent collaboration skills, with experience working cross-functionally with Compensation, HRIS, Finance, and IT teams

Required Qualifications:

• Bachelor’s degree in Finance, Economics, Statistics, Data Analytics, HR, or a related field required; advanced degree (e.g., MBA, MS Analytics, Statistics) preferred
• Typically, 8 years of experience in Human Resources with a strong focus on data-analytics, HR analytics, or experience in a related data-focused role, with demonstrated experience building models and analytical tools
• Experience working with large data sets, including survey data, with a clear understanding of how data informs business decisions
• Experience developing dashboards and data visualizations (e.g., Power BI, Tableau, or similar) to communicate insights to non-technical stakeholders
• Familiarity with Workday (or similar HRIS platforms), including reporting, calculated fields, and system-driven compensation processes
• US Citizenship is required.
• Advanced experience in Excel (including complex formulas, modeling, and large dataset management); experience with tools such as Python, R, or SQL strongly preferred

       

Compensation Details:

$114k - $140k

       

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

 

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

• Health, dental, and vision insurance

• Paid time off and holidays

• Retirement benefits (including 401(k) matching)

• Educational reimbursement

• Parental leave

• Employee stock purchase plan

• Tax-saving options

• Disability and life insurance

• Pet insurance

 

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

       

Original Posting:

05/12/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

       

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed,  marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.