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Senior Manager, CS Data & Analytics

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Boston · USD 145,000-232,000 · 2+ years experience · Hybrid · Posted Oct 5, 2026

At a glance

Experience
2+ years experience
Workplace
Hybrid
Location
Boston
Salary
USD 145,000-232,000 · Base salary

About the role

  • The Senior Manager, Customer Success & Experience Analytics will partner with CS leadership to shape organizational understanding of performance and customer experience. This player-coach role leads a team of two analysts and focuses on connecting data across Care, Onboarding, Enablement, and Product to drive business insights.

Responsibilities

  • Own the tools and mechanisms for the weekly Customer Success Business Review.
  • Lead analytics for Customer Experience and Voice of the Customer programs.
  • Develop reporting, insights, and recommendations to improve customer experience.
  • Analyze unstructured data including survey verbatims and contact transcripts.
  • Measure the impact of training, self-service content, and in-product guidance.
  • Design test-and-control measurement frameworks for customer education programs.
  • Grow and mentor a team of analysts.
  • Manage a transparent intake and prioritization process for analytics requests.
  • Partner with data engineering on the CS data model rebuild.
  • Collaborate with the Applied AI & Data Science lead to frame problems for modeling.

Requirements

  • 8+ years of experience in analytics, BI, or data science.
  • 2+ years of experience leading analysts.
  • Track record of owning recurring executive business reviews.
  • Hands-on experience extracting insights from unstructured data.
  • Working comfort with statistics and experimental design.
  • Strong SQL skills.
  • Fluency with a modern data stack (Snowflake, Hex, dbt, or equivalent).
  • Hands-on experience using AI for analytics.
  • Direct experience with customer success, customer experience, or support data.
  • Ability to translate analysis into clear recommendations for senior leaders.

Preferred qualifications

  • Experience measuring training, enablement, or customer adoption programs.
  • Experience with text analytics or topic modeling.
  • Strong point of view on modeling operational inputs to outcomes like NPS.

Workplace

  • Hybrid role requiring 2 days per week in the Boston office.

Skills

  • SQL
  • Snowflake
  • Hex
  • Dbt
  • Data Visualization
  • Statistics
  • Experimental Design
  • Text Analytics
  • Topic Modeling
  • AI Tools

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Senior Manager, CS Data & Analytics

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