Microsoft Sales Compensation Manager 

India, Karnataka, Bengaluru 

776056438

You'll analyze sales performance data, provide actionable insights, and collaborate with stakeholders to continuously improve our compensation plans. This opportunity will allow you to dive deep into the world of business analytics, leveraging quantitative analyses and modeling to inform decision-making. You'll synthesize findings, develop performance reports, drive continuous process improvement, and communicate results to senior executives and sales leadership. Moreover, you'll have the chance to engage with cross-functional teams, manage complex stakeholder relationships, and drive innovation across the organization.

• Bachelor's Degree in Business, Finance, Computer Science, Data Science, Engineering, Economics, or related field AND 5+ years’ experience in compensation, business management and operations, finance and analytics, human resources and people analytics, marketing, or sales strategy
o OR equivalent experience.
• At Microsoft, you will be working in an integrated fashion with colleagues around the world. To facilitate this collaboration, knowledge of English is required for this role. Proficiency in verbal and written communication in French is required for candidates residing in Quebec, otherwise it is considered an asset.

• Master of Business Administration Degree or Master's Degree in Finance, Computer Science, Data Science Engineering, or related field.
• 3+ years’ experience working in a large or highly matrixed organization, preferably in the technology industry.
• 3+ years program leadership/management experience.
• 3+ years’ experience modeling data or statistical forecasting using software packages (e.g., ADX/Azure Stack, SQL, R, Python, Excel)
• 1+ years’ experience of using Microsoft data products (Power BI, Kusto, Fabric, etc.)

• Leverages an understanding of compensation design principles, levers, and mechanics to support incentive compensation plan design
• Presents plan analyses, rationale, and costs. Calibrates plans against software, services, and sales Go-to-Market strategies.
• Engages with the stakeholders to review fairness and equality of compensation design mechanics.
• Acts as the voice of their stakeholders and partners across the organization to design, implement, and oversee plans/programs that are customer centric.
• Influences across the company to accomplish initiatives, serve sales leaders, achieve business goals, owning the relationships with cross-functional (e.g., finance, business/engineering groups, HR, sales segments) and multi-country team members.
• Identifies and addresses broader business needs from a compensation perspective.

• Performs analytics and modeling for team leaders and Sales leadership on compensation plan performance, compensation scenario analysis, and effectiveness reviews to provide business insight.
• Understands how key data attributes come together to drive quality seller setups.
• Conducts scenario modeling and analyzes incentive compensation plan designs to assess legal and financial risks.
• Uses mathematical and statistical modeling to provide recommendations for action based on data-driven conclusions, including operational and financial cost implications.
• Collaborates with team members to build cohesive, data-driven stories to describe compensation related problems, simplifying the complex and connecting dots across available data.
• Completes sales performance reports and/or data visualizations to communicate sales compensation results and quantify business impact within their team.
• Contributes to the creation of global tools and processes.
• Engages in user acceptance testing (UAT) on new platform features.
• Increases industry-wide perspective to inform future compensation processes.
• Contributes to continuous process improvements and in-flight changes through the review and analysis of incentive compensation performance.
• Assesses programs for potential risks, verifying adherence to company policies and procedures when executing compensation practices.
• Identifies control measures and governance needs.
• Uses statistical models and machine learning thinking to support modeling of compensation simulations.
• Reports on and develops a basic understanding of pay for performance philosophy and owns cost portfolio management reporting.
• Assesses and learns overall cost impact and risks (e.g., legal, financial, reputational).