Revenue Intelligence Operations Director, Global Sales Excellence

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Revenue Intelligence Operations Director, Global Sales Excellence based in United States.

This is a high-impact global individual contributor role focused on improving the predictability, discipline, and effectiveness of sales performance.
You will own the global view of forecast accuracy and identify the operational, behavioral, and data-driven factors affecting commercial outcomes.
The role combines strategic diagnosis with hands-on implementation, turning performance insights into measurable improvement programs.
You will lead a major global enterprise sales motion, aligning regional approaches while adapting execution to local market needs.
Working closely with Sales Operations, Finance, Enablement, Technology, and other functions, you will drive initiatives through influence rather than direct authority.
You will also identify opportunities to leverage sales technology and AI to improve seller productivity, workflow efficiency, and forecast discipline.
Success will be measured by tangible improvements in how the organization sells, forecasts, executes, and scales globally.

• Own the global approach to forecast accuracy, establishing consistent definitions, measurement standards, and reporting practices across regions.
• Diagnose forecast errors by distinguishing process and behavioral issues—such as deal inspection, stage discipline, commit criteria, and pipeline hygiene—from structural or data-quality challenges.
• Lead global sales performance improvement initiatives in partnership with regional Sales Operations and Sales Leadership, using metrics such as win rate, average selling price, sales cycle, pipeline coverage, and quota attainment.
• Identify and validate high-value improvement opportunities, quantify their potential impact, define target populations, and secure leadership alignment on priorities.
• Test interventions with defined populations before scaling, establish evidence-based success measures, and continuously refine approaches based on results.
• Lead the Global Enterprise Motion program end to end, consolidating regional playbooks, identifying gaps, and prioritizing the components with the greatest expected performance impact.
• Scope, sequence, and oversee successive deployment waves while anticipating changes to go-to-market structures, segmentation, and regional operating models.
• Partner with Revenue Acceleration and Enablement to prepare adoption support before rollout and establish clear measures for motion adoption and business impact.
• Identify opportunities within the sales technology and AI landscape that can improve seller effectiveness, efficiency, and forecast discipline.
• Translate performance gaps into prioritized technology and capability recommendations, partnering with Technology, Sales Operations, and other stakeholders to move approved initiatives into delivery.
• Measure realized impact from tooling and process changes, ensuring improvements enhance both seller productivity and the customer experience.
• Establish executive-level reporting on forecast performance, improvement programs, enterprise motion deployment, adoption, and measurable outcomes.
• Operate with autonomy over diagnostic methods, improvement priorities, measurement standards, program design, and deployment sequencing while building business cases for decisions requiring executive sponsorship.
• Mentor mid-to-senior professionals and develop repeatable methods, standards, and operating practices that can be applied independently across the organization.

Requirements

• Proven experience in sales operations, sales excellence, revenue operations, or sales management, with the ability to operate confidently across analytics, commercial strategy, and execution.
• Direct experience with sales forecasting mechanics and improving forecast accuracy, including an understanding of the process, behavioral, and data-related drivers of forecast variance.
• Demonstrated ability to analyze commercial data, identify poor-quality inputs or flawed conclusions, and defend a diagnosis when challenged by senior sales stakeholders.
• Strong command of commercial performance metrics and the operational mechanics behind pipeline management, deal progression, sales cycles, win rates, quota attainment, and forecasting.
• Proven track record of delivering complex, cross-functional programs across multiple functions and regions through influence rather than direct reporting authority.
• Experience standardizing sales motions, operating cadences, processes, or playbooks across geographically distributed teams while accommodating appropriate local differences.
• Strong business judgment and executive presence, with the credibility to work directly with senior sales leaders and determine when issues should be resolved independently or escalated.
• Demonstrated ability to turn ambiguous performance problems into clear diagnoses, quantified business cases, implementation plans, and measurable outcomes.
• Experience partnering with Finance on forecast governance, revenue predictability, variance analysis, or related commercial planning initiatives.
• Familiarity with AI-enabled sales productivity solutions, seller workflow automation, and commercial technology adoption is highly desirable.
• Experience in a global B2B software or SaaS environment is preferred, particularly within enterprise, renewals, or channel-influenced sales models.
• Strong program management, analytical, communication, and stakeholder management skills, with the ability to translate complex findings into clear actions.
• Experience mentoring professionals and developing frameworks, standards, and methodologies that enable teams to operate consistently with minimal supervision.

Benefits

• Competitive total target compensation based on geographic location, experience, education, skills, and other relevant factors:
  • Zone 1: $237,100–$440,200 USD for the San Francisco Bay Area and New York City boroughs.
  • Zone 2: $217,300–$403,400 USD for Washington and California outside the San Francisco Bay Area.
  • Zone 3: $197,500–$366,800 USD across several major U.S. markets, including Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, and selected other locations.
  • Zone 4: $171,800–$319,100 USD for all other U.S. locations.
• Unlimited paid time off and 12 paid holidays, including four dedicated global self-care days.
• 24 paid volunteer hours annually.
• Paid parental leave of 8 weeks for all parents and 16 weeks for birthing parents.
• Medical, dental, and vision coverage beginning on the first day of employment.
• Mental health support, therapy sessions, and digital wellness resources through an Employee Assistance Program.
• 401(k) retirement plan with company matching contributions.
• Fertility, adoption, and surrogacy support.
• 24/7 virtual veterinary care at no cost.
• Legal services, identity protection, and supplemental health insurance options.
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting.
• Professional development opportunities through LinkedIn Learning, O’Reilly, mentoring, workshops, and global learning events.
• Remote work environment within the United States.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1