Compensation Advisor
Hewlett Packard Enterprise is hiring a Compensation Advisor. Level rates it ; you can apply on Hewlett Packard Enterprise.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Copilot, Radford and Mercer among its tools and skills.
- Level classes it as a mid-level role.
- Hewlett Packard Enterprise has 1,600+ other open roles on Level.
AI in this role
Support global compensation programs, market benchmarking, and job architecture frameworks with exposure to AI-enabled work design.
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
How will you make your mark
Support the administration of global Compensation COE programs in alignment with HPE’s compensation philosophy and governance standards. Deliver accurate, timely, and data-driven analyses and recommendations that support effective compensation decisions.
Market Analysis & Benchmarking
• Participate in global compensation surveys and support end-to-end market-pricing activities, including job matching, data submission, result validation, and analysis.
• Analyze external compensation data from survey providers such as Radford, Mercer, WTW, and other global industry sources.
• Conduct benchmarking analyses and recommend salary range adjustments based on market movement, internal alignment, and evolving talent demand.
Job Architecture
• Support the maintenance and evolution of HPE’s job architecture framework by reviewing job profiles, organizational changes, and market developments that may require framework updates.
• Assist with job evaluations, job profile development, leveling assessments, and job family governance.
• Partner with Business Compensation Consulting and business stakeholders to ensure accurate job classification and market alignment.
• Support workforce transformation initiatives involving skills-based talent and AI-enabled work design.
Base Pay Programs:
• Support annual salary increase planning by preparing budget assumptions, consolidating inputs, and analyzing proposed allocations.
• Maintain and evaluate geographic pay practices, including market-based pay zones, location-specific salary structures, and geographic pay differentials.
• Administer supplemental pay programs and provide guidance on eligibility, application, and program requirements.
• Support pay compliance reviews by monitoring regulatory requirements, validating program practices, and maintaining accurate documentation.
Reporting & Compliance
• Maintain compensation reports, dashboards, and analytics.
• Assist with audits, documentation, and governance reviews.
• Ensure compliance with applicable federal, state, and global compensation regulations.
AI & Process Transformation
• Identify opportunities to automate repetitive compensation activities, simplify workflows, and reduce manual effort and cycle time across key compensation processes.
• Build and maintain AI-enabled compensation solutions using technologies such as Microsoft Copilot, Power Platform, Power Automate, AI agents, analytics platforms, or similar tools.
• Develop scalable tools, dashboards, and workflows that enhance decision-making and user experience.
• Develop reusable prompts, templates, process documentation, and workflow automations to improve operational efficiency.
• Establish controls and validation processes to ensure AI output remains accurate, compliant, and auditable.
• Measure and communicate business impact through productivity gains, reduced cycle time, improved data quality, and enhanced user experience.
About you:
Bachelor’s degree in Human Resources, Business Administration, Finance, Economics, Data Analytics, or a related discipline.
Experience: Minimum of two years of compensation experience, preferably within a high-tech or technology-focused organization.
Skills/Qualifications:
• Working knowledge of compensation program administration, market pricing, salary structures, and job evaluation principles.
• Strong Microsoft Excel skills, including the ability to organize, analyze, validate, and summarize compensation data.
• Experience analyzing and summarizing reports and large datasets
• Strong written and verbal communication skills
• Ability to manage multiple priorities in a fast-paced environment
• Experience using AI and automation tools, such as Microsoft Copilot, Power Automate, Power BI, or similar technologies, to improve business processes, automate workflows, analyze data, or support digital transformation.
• Preferred knowledge of Workday Compensation and Job Architecture modules or comparable HR technology platforms.
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#mexicoJob:
Human ResourcesJob Level:
Intermediate
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
In accordance with applicable Mexican laws and our commitment to non-discrimination, HPE strictly prohibits requiring medical certificates related to pregnancy status or HIV as conditions for employment, continued service, or promotion.Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
How we rate this
Compensation Advisor at Hewlett Packard Enterprise rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where compensation analysis was part of your work. What did you do?
- Tell me about a project where market benchmarking was part of your work. What did you do?
- Tell me about a project where job evaluation was part of your work. What did you do?
- Tell me about a project where job architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Compensation Analysis, Market Benchmarking, Job Evaluation, and Job Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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