Lead compensation data and operations for M&A: design data pipelines, anonymize and secure HR data, build dashboards, map compensation, automate workflows, evaluate AI/ML solutions, and perform pay equity analyses pre- and post-close.
Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
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:
Qualifications
Core skills:
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 law. In 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 [email protected] 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.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
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 requirements.-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 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 fast-moving 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 law. In 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 [email protected] 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.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Top Skills
Ai/Ml
Excel
Pave
Power Automate
Power BI
Python
SQL
Syndio
Tableau
Workday
ServiceNow Montréal, Québec, CAN Office





6650 St Urbain Street, Suite 500, Montréal, QC, Canada, H2S 3G9
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal






