Job description

Overview Sales Design and Incentives (SDI) is responsible for the design, implementation, and operation of Microsoft’s sales and incentive compensation programs, impacting more than 40,000 employees. Our vision is to deliver best-in-class incentive compensation experiences that motivate sellers, enable sustainable growth, and strengthen customer success. We are looking for a Director, Connected Enablement Data Business Architect to join our Connected Enablement team. In this role, you will define the business architecture and future-state capabilities for compensation data, metrics, and data-enabled experiences, connecting business strategy to technical execution through clear capabilities, requirements, governance frameworks, and transformation roadmaps. This role partners across Incentive Compensation, Finance, Engineering, Product, Data, Operations, and field organizations to improve how compensation data is defined, governed, delivered, and experienced. Success in the role includes navigating complex business needs, driving alignment across organizational boundaries, and translating data topics into actionable business decisions. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities • Lead complex, cross-functional transformation initiatives involving business, engineering, product, finance, operations, and field partners. • Define the business architecture, future-state capabilities, and roadmap for compensation data, metrics, and trusted seller experiences. • Translate business priorities and operational needs into clear data requirements, use cases, process designs, and measurable outcomes. • Establish governance for critical data and metrics, including definitions, ownership, decision rights, quality expectations, readiness, and lifecycle management. • Assess the impact of data and metric changes across compensation plans, quotas, earnings, reporting, tools, operations, and seller experiences. • Develop frameworks, capability maps, business process models, decision materials, and executive recommendations to guide solution development and investment priorities. • Drive business readiness and adoption for new or changing data capabilities, metrics, controls, and experiences. • Represent business and field needs throughout solution design and implementation to help ensure delivered capabilities address intended business outcomes. • Identify opportunities to improve data quality, simplify processes, reduce operational risk, and responsibly apply artificial intelligence (AI) and automation. • Define success measures and feedback mechanisms that support stakeholder confidence and continuous improvement. • Embody our Culture and Values Qualifications Required Qualifications • Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales strategy, sales operations, sales compensation, finance, business development, marketing, program leadership, or a related field • OR equivalent experience • 6+ years experience in Near Term Strategy (2 years out), Management Consulting, or Finance Preferred Qualifications • Background leading complex, cross-functional programs or business transformation initiatives and translating business strategies and operational needs into capabilities, requirements, processes, roadmaps, or operating models. • Demonstrated ability to influence stakeholders and drive alignment across organizational boundaries. • Analytical, problem-solving, communication, and executive storytelling skills applied to business decision-making in matrixed and evolving environments. • Experience with incentive compensation, quota management, earnings, sales performance, or revenue operations. • Knowledge of data governance, data quality, metric definition, data lifecycle management, analytics, or enterprise reporting. • Cross-functional partnership with engineering, product, data, or analytics teams to deliver business capabilities and assess the impact of data, process, metric, or system changes. • Familiarity with global sales or field-facing programs, artificial intelligence (AI)-enabled business processes, intelligent automation, or modern enterprise data capabilities. Sales Strategy Enablement IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

Lead complex, cross-functional transformation initiatives involving business, engineering, product, finance, operations, and field partners.
Define the business architecture, future-state capabilities, and roadmap for compensation data, metrics, and trusted seller experiences.
Translate business priorities and operational needs into clear data requirements, use cases, process designs, and measurable outcomes.
Establish governance for critical data and metrics, including definitions, ownership, decision rights, quality expectations, readiness, and lifecycle management.
Assess the impact of data and metric changes across compensation plans, quotas, earnings, reporting, tools, operations, and seller experiences.
Develop frameworks, capability maps, business process models, decision materials, and executive recommendations to guide solution development and investment priorities.
Drive business readiness and adoption for new or changing data capabilities, metrics, controls, and experiences.
Represent business and field needs throughout solution design and implementation to help ensure delivered capabilities address intended business outcomes.
Identify opportunities to improve data quality, simplify processes, reduce operational risk, and responsibly apply artificial intelligence (AI) and automation.
Define success measures and feedback mechanisms that support stakeholder confidence and continuous improvement.
Embody our Culture and Values
6+ years experience in Near Term Strategy (2 years out), Management Consulting, or Finance
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Demonstrated ability to influence stakeholders and drive alignment across organizational boundaries.
Analytical, problem-solving, communication, and executive storytelling skills applied to business decision-making in matrixed and evolving environments.
Experience with incentive compensation, quota management, earnings, sales performance, or revenue operations.
Knowledge of data governance, data quality, metric definition, data lifecycle management, analytics, or enterprise reporting.
Cross-functional partnership with engineering, product, data, or analytics teams to deliver business capabilities and assess the impact of data, process, metric, or system changes.
Familiarity with global sales or field-facing programs, artificial intelligence (AI)-enabled business processes, intelligent automation, or modern enterprise data capabilities.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

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Platform: eightfold
Effort: medium

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