Senior Manager, Revenue Intelligence & Analytics

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Posted Sep 18, 2026

Remote · US · ask about Worldwide Full Time
Est. $140K – $190K/yr

Overview

This role is a leadership position within GTM Operations, reporting to the Senior Director, GTM Operations. The employer is seeking a sharp, analytically rigorous, and strategically minded leader to own data, reporting, and decision support across the go-to-market (GTM) organization.

The position is not a traditional reporting role. It is a deeply analytical, strategic mandate with leadership scope from day one.

This is a full-time role, open to remote / hybrid candidates. No relocation assistance is offered.

Responsibilities

GTM Data Ownership & Governance

  • Serve as the single source of truth for GTM-related data including revenue, forecasting, deal visibility, comp and quota attainment, and territory/segment planning
  • Govern data across multiple, disjointed systems by bringing information together, rationalizing it, and ensuring integrity across downstream outputs
  • Define GTM metrics (meaning, calculations, and source system) so stakeholders get consistent answers to the same questions
  • Partner with the Data Scientist and Data Analyst to build reliable, well-structured data tables and source-of-truth views in Databricks

Analysis, Insight & Decision Support

  • Go beyond surface-level reporting by interrogating data, testing hypotheses, and segmenting until business mechanics are understood
  • Translate analysis into clear points of view and specific recommendations, owning the “so what” and “now what” behind key numbers
  • Build analytical narratives that support leadership decisions, including scenario models, sensitivity analysis, and trade-off framing
  • Proactively identify blind spots and emerging questions in the data before stakeholders ask

Forecasting & Revenue Planning

  • Own the forecast cycle end-to-end: inputs, usage, gaps, and what needs to change
  • Maintain a rolling view of pipeline health, attainment trajectory, and revenue risk across segments, regions, and pods

Stakeholder Visibility & Self-Serve Analytics

  • Ensure every level of the GTM organization has access to the information they need, including:
    • Executives: full-company performance view with regional and pod-level drill-down
    • GTM leaders: team performance dashboard including quota, gap to quota, rep-level drill-down, and comp clarity
    • Individual contributors: personal pipeline view, attainment status, and close requirements
  • Design for transparency so the organization is not dependent on weekly reporting to understand performance

Compensation & Territory Planning

  • Partner with Global GTM Leadership and Finance on compensation target design and modeling for all revenue roles
  • Support analytical work required to evaluate and model the transition from a Billed to a Booked compensation framework

Data Quality & Process Advisory

  • Act as a diagnostic engine for GTM data quality by tracing issues back to the process, system, or behavior causing them
  • Advise GTM Operations on how to fix issues at the source
  • Build an ongoing feedback loop so data quality improvements are continuous, not a one-time cleanup

Requirements

  • 7+ years in Revenue Operations, Sales Operations, or a GTM analytics function in a high-growth B2B SaaS environment
  • Strong “analyst-first” capability: fast and rigorous with data, able to structure questions and reach defensible answers without waiting for someone to build a report
  • Demonstrated expertise in revenue forecasting, pipeline management, and quota/comp analytics
  • Advanced proficiency in data manipulation and analysis; Excel is a foundation
  • Working fluency in SQL and comfort reasoning about data in a modern data platform such as Databricks (ability to query, validate, and reason independently)
  • Curiosity and appetite for AI-native tooling; reporting outputs are built as live, interactive artifacts in Claude (prior experience welcome, but enthusiasm and fast learning are required)
  • Familiarity with Salesforce and Clari, along with other common GTM tools
  • Proven ability to build reporting and analytical infrastructure from the ground up in ambiguous, fast-moving environments
  • Experience leading or mentoring analysts and getting more out of specialist resources than their headcount would suggest
  • Opinionated strategic thinking: form views, make recommendations, and communicate what the data means and what the organization should do about it
  • Comfort working in whitespace—energized by lack of a fully defined playbook rather than paralyzed by it

Preferred Qualifications

  • None listed.

Compensation & Benefits

  • Information not provided in the source description.

Location

  • Remote / hybrid (full-time)
  • No relocation assistance is offered.

Equal Opportunity & Accommodation

  • The employer is an equal opportunity employer and does not discriminate based on protected characteristics.
  • Reasonable accommodations are available for qualified individuals with disabilities. If assistance or an accommodation is needed due to a disability, contact the People & Talent team.

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