Senior Manager, Total Rewards Data and Analytics

Denver, CO - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Role summary: Serves as the technical backbone for compensation data and operations during M&A transactions. Designs data solutions optimizes processes and leverages AI/automation to accelerate due diligence and integration.

Key responsibilities:

Lead compensation data analysis during due diligence; identify risks and harmonization needs
Build data pipelines to ingest cleanse and normalize compensation data from targets
Manage all people related data for virtual data rooms by preparing anonymizing organizing securing and auditing high volumes of sensitive HR documents to support M&A due diligence and disclosure data for virtual data rooms by preparing anonymizing organizing securing and auditing high volumes of sensitive HR documents to support M&A due diligence and disclosure requirements
Create dashboards and reporting for integration visibility and decision-making
Develop compensation mapping frameworks and model total comp scenarios
Design scalable M&A playbooks and automate workflows (data validation compliance)
Evaluate and implement AI/ML solutions for benchmarking job matching and anomaly detection
Conduct pay equity analyses pre- and post-close

Qualifications :

Core skills:

Compensation structures (base variable equity executive comp)
Data analysis and visualization (Excel SQL Tableau Power BI)
Python for data manipulation
HRIS and compensation platforms (Workday Pave Syndio)
AI/ML concepts and tools with experience developing agents a plus
Pay equity and compliance (FLSA equal pay)
Process automation using the Power Automate platform
Proficiency with organizing complex HR datasets and the ability to manage access controls audit activity and maintain strict confidentiality under fastmoving deal conditions.

Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Remote Work :

Yes

Employment Type :

Full-time

Role summary: Serves as the technical backbone for compensation data and operations during M&A transactions. Designs data solutions optimizes processes and leverages AI/automation to accelerate due diligence and integration.Key responsibilities:Lead compensation data analysis during due diligence; i...

Key responsibilities:

Lead compensation data analysis during due diligence; identify risks and harmonization needs
Build data pipelines to ingest cleanse and normalize compensation data from targets
Manage all people related data for virtual data rooms by preparing anonymizing organizing securing and auditing high volumes of sensitive HR documents to support M&A due diligence and disclosure data for virtual data rooms by preparing anonymizing organizing securing and auditing high volumes of sensitive HR documents to support M&A due diligence and disclosure requirements
Create dashboards and reporting for integration visibility and decision-making
Develop compensation mapping frameworks and model total comp scenarios
Design scalable M&A playbooks and automate workflows (data validation compliance)
Evaluate and implement AI/ML solutions for benchmarking job matching and anomaly detection
Conduct pay equity analyses pre- and post-close

Qualifications :

Core skills:

Compensation structures (base variable equity executive comp)
Data analysis and visualization (Excel SQL Tableau Power BI)
Python for data manipulation
HRIS and compensation platforms (Workday Pave Syndio)
AI/ML concepts and tools with experience developing agents a plus
Pay equity and compliance (FLSA equal pay)
Process automation using the Power Automate platform
Proficiency with organizing complex HR datasets and the ability to manage access controls audit activity and maintain strict confidentiality under fastmoving deal conditions.

Additional Information :

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Adobe Analytics
Data Analytics
SQL
Attribution Modeling
Power BI
R
Regression Analysis
Data Visualization
Tableau
Data Mining
SAS
Analytics

Apply Now

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