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 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 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.