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# Senior Lead, Sales Compensation - Data Management

- **Company:** Vanguard
- **Location:** Malvern, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data Architecture, Data Validation, Data Governance, Data Integrity, Data Structures, Data Systems, Systems Architecture, Control Structures, Data Strategy, Data Management
- **Published:** July 23, 2026
- **Apply:** http://www.vanguardjobs.com/job/23623921/senior-lead-sales-compensation-data-management-malvern-pa/?utm_medium=%22mcloud%2Djobads%22&utm_campaign=Default%20Campaign&utm_content=Senior%20Lead%2C%20Sales%20Compensation%20%96%20Data%20Management&utm_term=180793

## About the Role

* Six (6) or more years of related work experience, with significant focus on sales compensation administration, data management, incentive systems, or compensation operations.
 * Demonstrated ability to design scalable processes, define data standards, and apply independent judgment in complex, ambiguous situations.
 * Experience influencing cross-functional stakeholders, including Technology, Finance, HR, and Governance partners.
 * Strong understanding of data structures, reconciliation approaches, and system-driven compensation processes.
 * Undergraduate degree or equivalent combination of education and experience required. Graduate degree preferred.
 * Progress toward or attainment of Certified Compensation Professional (CCP) preferred.

Special Factors

## Description

Serves as a senior individual contributor responsible for shaping and overseeing the design, governance, and effectiveness of sales compensation data systems. Applies advanced judgment to administration frameworks, data architecture, and control structures to ensure compensation programs are scalable, accurate, and operationally resilient. Operates with significant autonomy and exercises cross functional influence with Sales, Finance, HR, Technology, and Governance partners to align administration strategy, data integrity, and execution outcomes., * Leads the design and continuous improvement of sales compensation data frameworks, including processes, workflows, and operating models to ensure consistency, scalability, and alignment with compensation design intent.

 * Defines and oversees data management strategy supporting sales compensation programs, including data sourcing, transformation logic, reconciliation standards, and governance controls.
 * Evaluates the effectiveness of administration processes and data systems, identifying gaps in scalability, accuracy, and efficiency; recommends structural improvements to enhance long-term sustainability.
 * Establishes and maintains control frameworks for compensation administration, including audit readiness, data validation methodologies, and maker-checker processes to ensure accuracy and defensibility.
 * Partners with Technology and data teams to shape system architecture, automation strategies, and tooling enhancements that reduce manual processes and improve operational effectiveness.
 * Provides oversight of payout integrity by defining validation standards, monitoring results, and guiding resolution of complex issues.
 * Serves as a senior advisor to cross-functional partners by translating compensation design intent into operational requirements and data structures.
 * Leads complex problem solving related to data discrepancies, system limitations, and process breakdowns, ensuring root causes are addressed at a structural level.
 * Guides and influences Sales, Finance, HR, and Governance partners on implications of administration design choices, data integrity risks, and operational tradeoffs.
 * Provides informal leadership and technical guidance to S3 roles on administration processes, data practices, and system usage, establishing standards for execution and quality.
 * Contributes to enterprise reporting frameworks, dashboards, and ongoing monitoring of compensation plan health, focusing on trends, risks, and improvement opportunities.
 * Participates in cross-functional initiatives related to sales compensation transformation, system evolution, and data strategy.


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