Job Description
Job title: Principal Compensation Consultant
Location: Houston, TX
Duration: Full Time
Description:
As a Principal Compensation Consultant, you will lead delivery of large-scale projects, coach team members, and solve complex compensation challenges. In addition, you will support the business development process. This is a great opportunity to partner with senior management and HR leaders to develop and deliver compensation strategies that attract, retain, and motivate talent.
What you will do:
Structure, direct, review, and interpret analyses performed by project team.
Develop compensation strategies, philosophies, and programs that address clients’ attraction and retention needs
Provide consulting services to senior management on compensation issues including pay strategy (structure and competitiveness), job architecture design, and digital activation of these designs
Thrive and be motivated by an environment that embraces AI and technology-enabled tools
Manage day-to-day client interactions, building and maintaining strong relationships
Provide guidance and oversight to junior team members, supporting their development and ensuring quality deliverables
Generate revenue by developing new client relationships, extending existing engagements, and identifying cross-selling opportunities
What you need to have:
Bachelor’s degree in Business, Human Resources, Finance, or a related field
Extensive (8+) years of experience in compensation consulting with demonstrated subject matter expertise
Proven ability to manage multiple large-scale projects and complex client engagements
Deep knowledge of compensation strategy, compensation-related technology, incentive plan design, market analysis methodologies, and regulatory compliance
Strong client relationship management skills with experience advising senior executives
Excellent communication, presentation, and leadership skills
Proficiency in Microsoft Office, especially Excel and PowerPoint
Intellectual curiosity and a proactive approach to problem-solving and coaching
What makes you stand out:
Experience leading engagements for global organizations with complex compensation challenges
Demonstrated success in leading or supporting business development activities
Advanced analytical skills and familiarity with compensation management tools, survey management tools, and AI-enabled compensation agents
Demonstrated leadership in developing innovative solutions and thought leadership content
Why join Marsh:
Professional development opportunities and supportive leadership to help you grow
A vibrant, inclusive culture where you can collaborate with talented colleagues
A broad range of career opportunities and comprehensive benefits to support your well-being
A flexible hybrid work model balancing remote work with in-office collaboration
Requirements:
- At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions.
- Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows.
- Strong proficiency in Python and/or Scala for data engineering; SQL expertise required.
- Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration.
- Functional and technical experience with Sales Incentive Compensation (SIC) — including incentive plan design, quota allocation, attainment tracking, commission calculations, and payout processing.
- Familiarity with SIC platforms (e.g., Anaplan, Oracle ICM, Varicent) and experience integrating them with data engineering platforms is a strong plus.
- Ability to understand complex incentive compensation rules and model them accurately in data pipelines and transformation logic.
- Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent.
- Passion and ability to create holistic, end-to-end, integrated data solutions.
- Stakeholder management skills; ability to challenge constructively and translate complex business requirements into scalable data architectures — not just gather requirements.
- Strong analytical and problem-solving skills, with the ability to understand complex data requirements and implement reliable, efficient solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
- Must work well in a team environment while being a resourceful, independent self-starter able to work effectively with minimal direction.
- Skilled at documenting complex data architectures and pipelines in a professional manner.
- Ability to work independently and manage multiple tasks and priorities in a fast-paced environment.
- Passion for data quality, performance optimization, and delivering excellent end-user data experiences.
- Databricks Certified Data Engineer Associate or Professional certification is a plus.
Nice to Have
- Functional and technical experience with Sales Incentive Compensation (SIC) — including incentive plan design, quota allocation, attainment tracking, commission calculations, and payout processing.
- Familiarity with SIC platforms (e.g., Anaplan, Oracle ICM, Varicent) and experience integrating them with data engineering platforms is a strong plus.
- Ability to understand complex incentive compensation rules and model them accurately in data pipelines and transformation logic
Must Have:
Bachelor’s degree in Business, Human Resources, Finance, or a related field
Extensive (8+) years of experience in compensation consulting with demonstrated subject matter expertise
Proven ability to manage multiple large-scale projects and complex client engagements
Deep knowledge of compensation strategy, compensation-related technology, incentive plan design, market analysis methodologies, and regulatory compliance
Strong client relationship management skills with experience advising senior executives
Excellent communication, presentation, and leadership skills
Proficiency in Microsoft Office, especially Excel and PowerPoint
Intellectual curiosity and a proactive approach to problem-solving and coaching
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