GitLab

Senior Manager, Renewals and CS Operations

GitLab

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $122,400 - $214,000 per year

Job Level

Senior

Tech Stack

Amazon RedshiftBigQuerySDLCSQLTableau

About the role

  • An overview of this role: The Senior Manager, Strategy and Analytics for Customer Success and Renewals is a critical leadership role responsible for driving strategic initiatives, leveraging data-driven insights, and fostering operational excellence across the global Customer Success and Renewal functions.
  • What you''ll do: Serve as a strategic partner to Customer Success and Renewals leadership, driving long-range planning and high-impact initiatives; Leverage advanced analytics to uncover insights, identify opportunities, and guide strategic decision-making; Develop sophisticated business models, forecasts, and scenario analyses to support strategic planning and resource optimization; Drive alignment and accountability on critical CS and Renewals KPIs, including renewal rates, gross retention, and churn metrics; Collaborate with Finance, Sales, and Customer Success leadership to define and track key performance indicators; Communicate insights and recommendations to executive audiences through compelling data visualizations and narratives; Foster a data-driven culture and empower teams with self-service analytics and reporting capabilities; Manage, mentor, and develop a high-performing team of analysts and business strategists; Champion process improvement initiatives leveraging industry best practices and innovative approaches; Implement strong operational rigor and discipline in planning and executing team''s work; Manage stakeholder relationships effectively, ensuring clear communication and alignment across all levels of the organization
  • What you''ll bring: Proven track record of driving strategic initiatives and leveraging analytics to guide decision-making in Customer Success, Renewals, or similar revenue functions; Strong leadership skills with experience managing and developing high-performing analytics teams; Proficiency in SQL, data modeling, statistical analysis, and data visualization (Tableau, Looker); Expertise in building complex financial models, forecasts, and scenario analyses; Exceptional problem-solving skills and ability to tackle ambiguous challenges with data-driven approaches; Compelling storytelling and data visualization abilities to drive action across analytical and non-analytical audiences; Business acumen to translate analysis into strategic recommendations and operational plans; Collaborative approach to partnering with cross-functional teams and driving alignment; Passion for enabling Customer Success and optimizing renewal processes; Prior experience working with large-scale data platforms (Snowflake, Redshift, BigQuery) preferred; Degree in a quantitative field (Business, Economics, Statistics, Computer Science, etc.) or equivalent experience required

Requirements

  • Proven track record of driving strategic initiatives and leveraging analytics to guide decision-making in Customer Success, Renewals, or similar revenue functions
  • Strong leadership skills with experience managing and developing high-performing analytics teams
  • Proficiency in SQL, data modeling, statistical analysis, and data visualization (Tableau, Looker)
  • Expertise in building complex financial models, forecasts, and scenario analyses
  • Exceptional problem-solving skills and ability to tackle ambiguous challenges with data-driven approaches
  • Compelling storytelling and data visualization abilities to drive action across analytical and non-analytical audiences
  • Business acumen to translate analysis into strategic recommendations and operational plans
  • Collaborative approach to partnering with cross-functional teams and driving alignment
  • Passion for enabling Customer Success and optimizing renewal processes
  • Prior experience working with large-scale data platforms (Snowflake, Redshift, BigQuery) preferred
  • Degree in a quantitative field (Business, Economics, Statistics, Computer Science, etc.) or equivalent experience required