Corporate Vice President, Compensation Modeling & AI

About the role

The Corporate Vice President leads the design and advanced analytical modeling of field compensation plans and other Field Experience needs. They develop predictive compensation models to evaluate financial impact, participant behavior, sales outcomes, and organizational performance. They apply actuarial methods, statistical analysis, machine learning, and AI-enabled modeling techniques to improve compensation design and decision making. They build simulation models that evaluate proposed compensation changes under multiple business scenarios and economic assumptions. They translate complex business challenges into quantitative models that support strategic compensation recommendations. They collaborate with Compensation Operations and Technology teams to ensure compensation designs can be effectively operationalized within the Varicent platform. They lead compensation analytics supporting executive presentations, governance committees, and strategic planning initiatives. They assist in developing key performance indicators and dashboards measuring compensation plan effectiveness and participant outcomes. They mentor analysts and business partners in analytical methodologies, modeling techniques, and data-driven decision making. They support enterprise modernization initiatives focused on automation, AI adoption, and next-generation compensation capabilities.

Responsibilities

• Lead the design and advanced analytical modeling of field compensation plans and other Field Experience needs.
• Develop predictive compensation models to evaluate financial impact, participant behavior, sales outcomes, and organizational performance.
• Apply actuarial methods, statistical analysis, machine learning, and AI-enabled modeling techniques to improve compensation design and decision making.
• Build simulation models that evaluate proposed compensation changes under multiple business scenarios and economic assumptions.
• Translate complex business challenges into quantitative models that support strategic compensation recommendations.
• Collaborate with Compensation Operations and Technology teams to ensure compensation designs can be effectively operationalized within the Varicent platform.
• Evaluate emerging AI capabilities and advanced analytics technologies to improve compensation design, forecasting, and operational efficiency.
• Lead compensation analytics supporting executive presentations, governance committees, and strategic planning initiatives.
• Aid in developing key performance indicators and dashboards measuring compensation plan effectiveness and participant outcomes.
• Mentor analysts and business partners in analytical methodologies, modeling techniques, and data-driven decision making.
• Support enterprise modernization initiatives focused on automation, AI adoption, and next-generation compensation capabilities.

Requirements

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Operations Research, Computer Science, or related quantitative discipline.
• 8–12 years of progressive experience in compensation strategy, actuarial science, predictive analytics, financial modeling, or quantitative business analysis.
• Demonstrated experience developing sophisticated financial or behavioral models supporting strategic business decisions.
• Strong understanding of incentive compensation principles, sales performance measurement, or behavioral economics.
• Advanced analytical capabilities including statistical modeling, scenario analysis, forecasting, and optimization techniques.
• Experience leveraging Artificial Intelligence and Machine Learning tools to improve business modeling, forecasting, or decision support.
• Advanced proficiency with Excel and analytical tools such as Python, R, SQL, SAS, MATLAB, or equivalent quantitative platforms.
• Excellent executive communication skills with the ability to explain complex analytical findings to non-technical audiences.
• Strong business acumen with the ability to balance financial objectives, participant behavior, and operational considerations.
• Demonstrated leadership in managing cross-functional initiatives involving business, finance, and technology partners.

Qualifications

• Fellow or Associate of the Society of Actuaries (FSA/ASA) or equivalent actuarial credential.
• MBA or advanced degree in Actuarial Science, Statistics, Data Science, Economics, Finance, or related field.
• Experience designing or evaluating sales compensation programs within financial services, insurance, wealth management, or related industries.
• Familiarity with Varicent Incentive Compensation Management (ICM) or comparable incentive compensation platforms.
• Experience developing AI-enabled forecasting, optimization, or simulation models.
• Experience with visualization tools such as Power BI or Tableau.
• Knowledge of cloud-based analytics platforms and modern data architecture.

Skills

• Strong analytical skills.
• Proficiency in Excel and analytical tools like Python, R, SQL, SAS, MATLAB, or similar platforms.
• Effective communication skills, especially in explaining complex concepts to non-technical stakeholders.
• Experience with AI and machine learning tools.
• Ability to manage and mentor others.
• Strong understanding of compensation principles and sales performance measurement.

Benefits

We provide a full package of benefits for employees, including leave programs, adoption assistance, and student loan repayment programs. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Our benefits are designed to support your overall well-being and help you thrive both inside and outside of work.

Pay

Salary Range: $119,000-$165,000. Actual base salary will be determined based on several factors, including individual’s experience, skills, qualifications, and job location. Employees are also eligible for an annual discretionary bonus.

Schedule

This role is Hybrid - 3 days per week.