Senior Manager, Revenue Operations - Data & Insights

Overview

This role is a Senior Manager, Revenue Operations - Data & Insights position responsible for building and scaling data infrastructure, reporting systems, and analytics capabilities that support go-to-market decision-making. You will partner with Sales, Marketing, and Finance to deliver trusted insights, improve forecast accuracy, and help accelerate revenue growth.

The position is open to remote candidates eligible to work in the United States. Week 1 of onboarding is in-person, based out of the Concord, MA office. A hybrid work schedule will be offered if the ideal candidate is based near the Concord, MA office. Additional travel may be required for meetings, company events, and training.

Responsibilities

• Design and maintain a centralized, scalable reporting and analytics infrastructure that serves as the single source of truth for GTM performance metrics across Sales and Marketing
• Lead forecasting, pipeline analytics, and scenario planning processes in close partnership with Sales leadership and Finance to drive predictable revenue outcomes
• Evaluate, implement, and optimize predictive AI and automation tools that enhance GTM team efficiency and decision-making
• Oversee data integrity, hygiene, and enrichment across core systems, including CRM and third-party data platforms, to ensure consistent and reliable reporting
• Build and manage a high-performing team of analysts and operations professionals, including coaching, development opportunities, and clear direction
• Define and govern metrics frameworks, KPIs, and dashboards used by GTM and Finance leaders to measure business performance
• Collaborate cross-functionally with Revenue Operations, Marketing Operations, Sales Operations, and Finance to align on priorities, surface insights, and influence strategic decisions
• Drive continuous improvement of operational processes through data-driven analysis and a test-and-learn mindset
• Other related duties as assigned

Requirements

• 7-10+ years of experience in Revenue Operations, Business Intelligence, or Data & Insights roles within B2B SaaS or technology environments
• Proven experience building trusted, reliable reporting functions serving both Sales Operations and Marketing Operations stakeholders
• Strong command of Salesforce, including Salesforce Admin certification or equivalent hands-on experience
• Expertise with BI tools including Looker, Tableau, and Salesforce Analytics/Einstein
• Experience with data enrichment tools such as ZoomInfo, Datalane, Apollo, or comparable platforms
• Demonstrated success in forecasting, scenario planning, and pipeline analytics at scale
• Ability to evaluate and implement predictive AI and automation tools for GTM teams
• Strong credibility with GTM leaders and Finance, with a track record of cross-functional partnership
• Experience building and coaching high-performing teams in a hands-on leadership capacity

Preferred Qualifications

None specified.

Compensation & Benefits

• Salary range: $165,000 to $185,000 annually
• Compensation may vary based on relevant experience, skill set, geographic location, and alignment with the internal compensation framework
• Eligible for additional benefits and incentives
• Benefits (subject to change and may vary based on role and location):
  • Competitive Medical, Dental, and Vision Insurance
  • Company Paid Life Insurance, Short- and Long-Term Disability Plans
  • Supplemental Insurance Options
  • Commuter Benefits
  • 401(k) with Company Match
  • Parental Leave
  • Flexible Paid Time Off
  • LinkedIn Learning Access
  • Pet Insurance
  • Employee Discount Programs

Location

• Remote candidates eligible to work in the United States
• Week 1 onboarding is in-person based out of the Concord, MA office
• Hybrid work schedule if the ideal candidate is based near the Concord, MA office
• Additional travel may be required for meetings, company events, and training

Equal Opportunity

The employer is an equal-opportunity employer and does not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.