S&P Global

Revenue Process Optimization Lead

S&P Global

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Senior

About the role

  • Identify, optimize, and implement improvements across end-to-end revenue processes to enhance operational efficiency and accelerate revenue realization.
  • Design and implement scalable solutions to reduce manual intervention and support a streamlined revenue operations model.
  • Partner with revenue, customer experience, technology and product teams to conduct inventory and mapping of current end-to-end revenue workflows, including renewals and new sales.
  • Facilitate process clarity, accountability, and hand-off criteria across stakeholder groups.
  • Analyze existing workflows, identify friction points, propose optimization areas and establish base and future state metrics/KPIs to monitor workflow efficiency and ROI.
  • Oversee cross-functional collaboration across revenue, account management, legal, finance, technology, and revenue operations to align processes and roles.
  • Translate business needs into actionable product requirements and support technology in delivering low-/no-touch automation solutions.
  • Proactively identify roadblocks, develop strategies to overcome them, and ensure timely delivery of initiatives.
  • Establish performance monitoring systems, incorporate user feedback, and collaborate with Education to build go-to-market plans and training materials for adoption.

Requirements

  • Bachelor’s degree in business, Engineering, Operations Management, or a related field (advanced degree preferred).
  • Proven experience delivering process optimization and automation initiatives within revenue operations or similar environments.
  • Strong analytical, organizational, and communication skills.
  • Track record of identifying inefficiencies and implementing data-driven solutions.
  • Demonstrated ability to plan, manage, and execute complex projects independently and collaboratively across cross-functional teams.
  • Certification in process mapping, optimization, or relevant methodologies (e.g., Lean, Six Sigma) preferred.
  • Familiarity with industry-standard process improvement methodologies preferred.
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