Senior Manager, Global Sales Compensation Operations

Visa•Austin, TX

2d•Hybrid

About The Position

We are seeking an analytical and detail oriented Senior Manager, Global Sales Compensation Operations to drive optimization of sales compensation programs while improving operational efficiencies in administration and execution. This role combines strategic thinking and data-driven decision making to ensure scalability and accuracy of outcomes. The Senior Manager will partner with sales compensation and business leadership to drive business outcomes and ensure the program aligns with business strategy and Visa’s Sales Compensation Program framework. This candidate will also evaluate and implement process improvements to drive consistency across all business units. To be successful, this candidate must be organized, thorough, and execute with clear guidelines and procedures.

Requirements

8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
At least 7 years of sales compensation, sales operations, and/or finance experience with progressively increasing responsibility and complexity of work
Experience with Incentive Management Compensation Tools such as Xactly, NICE, Callidus, Varicent, CaptivateIQ, or others
Experience in risk identification, assessment, mitigation, and reporting
Experience with sales incentive compensation concepts, sales data tracking processes, and methodologies
Proficient in using advanced functions and formulas in Excel and data validation
Expert in creating and maintaining complex spreadsheets, dashboards, charts, and reports that present data in a clear and accurate manner
Strong data management skills to manipulate, visualize, and interpret large and complex data sets
Manage and ensure data quality, data cleansing, data transformation, and data integration tasks using various tools and techniques
Capable of communicating data findings and recommendations effectively to various stakeholders using oral, written, and graphical formats
Proven experience in business process improvement, with the ability to identify and implement process changes that enhance efficiency, quality, and customer experience
Strong project management and organization skills
Excellent verbal, analytical, and written communication, and interpersonal skills
Strong analytical, problem-solving, and critical thinking skills, with the ability to work independently and collaboratively in a fast-paced environment
Demonstrated experience of successfully executing against tight deadlines, with a collaboration mind-set
Detail-oriented, organized, and quality-focused, with the ability to manage multiple tasks and priorities
Experience in working with cross-functional/cross-departmental and virtual teams
U.S. Applicants Only

Nice To Haves

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
certification in six sigma preferred

Responsibilities

Implement and manage sales compensation plans that align with business strategy.
Manage and perform activities to ensure accuracy and timely processing of incentive calculations, validations, and payments.
Manage and perform any activities for participants regarding SIP plan, quota, and/or crediting changes.
Manage and drive optimization of key processes including but not limited to quota setting and crediting.
Resolve any issues or inquiries through problem solving and data driven decisions.
Collaborate and partner with sales operations, finance, legal, total rewards, and people teams to support sales compensation initiatives.
Drive continuous improvement to help increase efficiency, quality, and customer satisfaction.
Maintain documentation of process and procedures.
Support the leadership team in various ad hoc projects to improve efficiency, transparency, and accuracy of business processes.
Provide ad hoc analysis on SIP program effectiveness.