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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