Senior Manager, GTM Analytics – Lead Data Strategy

PitchBook

Seattle (WA)

On-site

USD 185,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Health benefits

401(k) match

Transportation stipend

Stock program

Sabbatical program

Educational stipend

Job summary

PitchBook, a Morningstar company, seeks a Senior Manager of GTM Analytics to lead a high-performing team turning GTM data into strategic insights. You will partner with Systems, Data, Sales, Marketing, and Customer Success to deliver executive-ready analytics and maintain data governance.

The role emphasizes talent growth, proactive insights, and narrative-driven communication. The position requires deep GTM expertise, strong leadership, and a bias for fast, accurate insight delivery using

Qualifications

Bachelor's degree in Business, Analytics, Statistics, Economics or Finance.
8+ years of experience in Revenue Operations; Sales Analytics, Marketing Analytics, or Finance Analytics.
4+ years of people management and leadership experience.
Must be authorized to work in the United States without visa sponsorship now or in the future.

Responsibilities

Recruit, develop, and retain a team of GTM analytics professionals; build hiring roadmap and org structure.
Set expectations, coach direct reports on analytical craft and stakeholder communication.
Establish team operating rhythms, prioritization frameworks, and delivery standards.
Develop a culture of intellectual curiosity, data integrity, and continuous improvement.
Understand PitchBook's full GTM motion and how data is operationally executed across Sales, Marketing, and Customer Success.
Partner with GTM Operations, Commercial Ops, and Marketing Ops on process changes and data definitions.
Be the analytics team's SME on data structures and business processes.
Identify data gaps and drive resolution with stakeholders.
Collaborate with Systems and Data/ BI teams to map data flow from source systems to reporting layers.
Serve as bridge between analysts and engineers for clear stakeholder communication.
Contribute to data governance and KPI definition with documented logic.
Stay ahead of system changes to avoid disruption in insight delivery.
Own output quality standard for dashboards, reports, and analyses across Tableau, Salesforce, and AI tools.
Champion a visualization-first mindset and reusable templates.