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From the employer's careers site First seen 8 Nov 2026

Senior Compensation Partner

WGU Salt Lake City, UT On-site senior full-time

Salary

$123,000 - $190,700 per year

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Description

The Senior Compensation Partner serves as a key consultant and subject matter expert across all aspects of global compensation programs.

This role provides advanced, enterprise-level consulting and analytical expertise to drive critical business decisions related to attracting, retaining, and rewarding talent.

The Senior Compensation Partner helps lead the design, and evolution of tech-enabled compensation strategies, programs, and frameworks across the organization.

Duties & Responsibilities

Strategic Leadership & Advisory

  • Leads the team in advancement of compensation intelligence capabilities, leveraging data, automation, artificial intelligence, and predictive analytics to enhance decision-making, improve efficiency, and strengthen strategic workforce planning.
  • Advises leader and team on emerging technologies and AI-enabled approaches that improve compensation analysis, workforce insights, scenario modeling, and decision quality.
  • Serves as a trusted advisor to leaders and stakeholders on complex compensation matters, including offers, retention strategies, organizational design impacts, and high-risk pay decisions.
  • Executes on the continuous evolution of the organization’s compensation philosophy, strategy, and frameworks to align with long-term business objectives.
  • Influences enterprise decision-making through data-driven insights, scenario modeling, and risk assessment related to compensation programs.

Program Design & Ownership

  • Oversees the design and refinement of salary structures, incentive plans, and pay-for-performance frameworks.
  • Drives innovation in compensation design, incorporating emerging trends, tools, and technologies.
  • Evaluates, pilots, and integrates emerging technologies, including AI-enabled tools such as Claude, to streamline compensation processes, improve scalability, and enhance the quality and consistency of compensation recommendations.
  • Develops and maintains compensation workflows, methodologies, and governance standards that leverage AI-assisted solutions while ensuring appropriate oversight, data integrity, and compliance.

Job Architecture & Governance

  • Provides strategic oversight of job architecture, including job leveling frameworks, titling standards, and job evaluation methodologies.
  • Leads enterprise-wide initiatives to evolve job structure and ensure alignment with governance standards and organizational needs.
  • Establishes and enforces compensation governance practices to ensure consistency, transparency, and compliance.

Market Insights & Advanced Analytics

  • Leads complex market benchmarking, modeling, and predictive analytics to inform compensation strategy.
  • Utilizes AI-assisted analytics and modeling tools to accelerate complex compensation analyses, identify emerging workforce trends, and support proactive decision-making.
  • Translates market data, internal equity analysis, and business context into actionable executive-level recommendations.
  • Identifies trends and emerging risks in compensation (market, regulatory, workforce) and develops proactive solutions.
  • Designs and implements advanced compensation intelligence solutions that synthesize market data, internal workforce trends, pay equity analyses, and organizational metrics into actionable insights for leaders.

Compensation Cycles & Planning

  • Leads the annual compensation planning process, including merit, promotion, and incentive cycles, providing strategic direction on budgets, modeling, and distribution.
  • Advises leadership on allocation strategies and trade-offs to optimize outcomes across the organization.

Compliance & Risk Management

  • Ensures compliance with federal, state, and international compensation regulations (e.g., FLSA, pay transparency laws).
  • Leads pay equity analyses and remediation strategies with a strong focus on internal fairness and compliance.

Consultation & Education

  • Develops and delivers executive-level communication and education on compensation philosophy, programs, and decisions.
  • Creates tools, frameworks, and guidance to enable consistent compensation decision-making across leaders and HR partners.
  • Serves as a thought leader in the responsible application of artificial intelligence within compensation, educating stakeholders on best practices, governance standards, and opportunities to improve business outcomes.
  • Develops AI tools, agents, prompts, frameworks, and knowledge resources that enable Compensation, HR, and business leaders to effectively leverage AI-enabled compensation insights.

Team Leadership & Influence

  • Provides mentorship, guidance, and technical leadership to compensation team members.
  • Elevates team capability through knowledge sharing and best practice development.
  • Leads large-scale, cross-functional compensation initiatives (e.g., job architecture transformation, pay equity studies, program redesigns).
  • Champions the adoption of AI-enabled compensation practices and drives organizational capability building related to compensation intelligence, analytics, and workflow automation.
  • Provides leadership and mentorship on the effective use of Claude and other emerging technologies to improve team productivity, analytical rigor, and strategic impact.

Other

  • Stays current on advanced compensation trends, technologies (including AI applications), and best practices.
  • Performs other job-related duties as assigned.

Qualifications

Knowledge, Skills, & Abilities

  • Expert knowledge of compensation strategy, program design, market pricing, job architecture, and Total Rewards principles.
  • Expertise in leveraging artificial intelligence, automation, and compensation intelligence solutions to enhance analytics, decision-making, workflow efficiency, and stakeholder experience.
  • Advanced expertise in compensation analytics, modeling, workforce planning, and translating complex data into executive-level insights and recommendations.
  • Strong business acumen with a proven ability to influence senior leaders and align compensation strategies with organizational objectives.
  • Deep understanding of compensation governance, regulatory compliance, pay transparency, and pay equity practices.
  • Demonstrated ability to lead complex initiatives, navigate ambiguity, and drive organizational change in dynamic environments.
  • Excellent communication, presentation, consulting, and storytelling skills with executive audiences.
  • Strong project leadership and proficiency with HRIS and compensation technologies, including Workday and analytics platforms.

Education

  • Bachelor’s degree in a science, business, or other related field.

Experience

  • 12 years of relevant analytical experience, with at least 5 years in Compensation, People & Talent Analytics, Business Intelligence, HRIS Analytics or closely related work.
  • Demonstrated experience leading enterprise-wide compensation initiatives and advising senior leadership.
  • Experience with compensation tools and market data sources (e.g., Radford-Aon, Mercer-Marsh, Towers, CUPA-HR).

Preferred Qualifications

  • Master’s degree in a related field.
  • Certified Compensation Professional (CCP).
  • Experience in executive, sales, and/or global compensation.
  • Experience with Workday or other HRIS.
  • Project management certification (PMP, Agile, etc.).
  • Experience designing and implementing AI-enabled compensation, workforce analytics, or Total Rewards solutions.
  • Claude certifications or equivalent AI and prompt engineering credentials.
  • Experience leading AI adoption, governance, or workflow transformation initiatives within Human Resources, Compensation, or Total Rewards functions.

Travel

  • This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

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Skills

Required

  • compensation strategy
  • program design
  • market pricing
  • job architecture
  • Total Rewards principles
  • artificial intelligence
  • automation
  • compensation intelligence solutions
  • compensation analytics
  • modeling
  • workforce planning

Nice to have

  • Master’s degree in a related field
  • Certified Compensation Professional (CCP)
  • Experience in executive, sales, and/or global compensation
  • Experience with Workday or other HRIS
  • Project management certification (PMP, Agile, etc.)
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