Incentive Automation Lead

Sun King

11d • Remote

About The Position

We are looking for an Incentive Automation Lead to own the end-to-end accuracy, automation, and continuous improvement of Sun King's agent and staff incentive and commission systems. This role sits at the intersection of data, business logic, and stakeholder collaboration — requiring someone who can translate complex incentive rules into reliable automated workflows, identify and resolve discrepancies proactively, and communicate findings clearly to both technical and non-technical audiences. The ideal candidate brings problem-solving skills, a structured approach to investigating data issues, a data quality-first mindset, and the ability to build trust with field teams and business stakeholders by ensuring incentive outcomes are fair, timely, and well understood.

Requirements

• Bachelor's degree in Statistics, Economics, Finance, Computer Science or any quantitative fields.
• 3+ years of experience in a data analytics engineer, business intelligence, or incentive operations role.
• Good proficiency in Python and SQL for data extraction, transformation, and validation.
• Proficiency in Git and Bitbucket and airflow concepts and usage.
• Demonstrated ability to investigate complex data discrepancies, form hypotheses, and drive issues to resolution
• Experience working with BI tools (e.g. Looker, Tableau, Redshift) and translating business into data models.
• Good stakeholder management skills, comfortable presenting findings to non-technical audiences and managing expectations across multiple teams.
• Attention to detail with a strong sense of ownership over data accuracy and process reliability.
• Good written and verbal communication skills, with the ability to document processes clearly and explain incentive logic to field teams.
• Adaptable and able to thrive in a fast-paced, cross-functional environment.

Nice To Haves

• Prior experience in incentive design, commission operations, or agent-facing programs is a strong plus.
• Enthusiasm for mentoring others and building team capability around incentive data literacy.

Responsibilities

• Own the design, maintenance, and continuous improvement of incentive calculation pipelines, ensuring accuracy and consistency across all agent incentive outputs.
• Own the end-to-end automation of the incentive pipeline.
• Automate every incentive process to make it event based and not schedule based.
• Translate business incentive rules and policy changes into automated, auditable data workflows in collaboration with the Data Engineering team.
• Build and maintain monitoring and alerting systems to proactively detect anomalies in commission outputs before they impact agents.
• Implement rigorous quality assurance frameworks and reconciliation dashboards to ensure 100% accuracy and auditability for every dollar disbursed.
• Architect the system to handle multi-line-of-business (Phones, Inverters, LPG) and multi-country complexities without increasing manual overhead.
• Serve as the final gatekeeper for business logic changes, partner with Sales and Finance VPs to translate new commission structures into scalable technical requirements.
• Work with Finance, Operations, Payroll managers and field management teams to understand incentive program requirements and ensure data solutions reflect ground-level realities.
• Equip the teams with right tools and information to handle escalations from the agents.

Benefits

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry
• An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
• A truly multicultural experience: You will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
• Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level