Job Description
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Company Overview
A leading global technology organization is seeking a Senior Manager, GTM Data Science to lead a high-performing data science team focused on acquisition, conversion, trials, and gross new ARR growth across the digital customer journey. The organization uses data science, analytics, and customer insights to improve go-to-market performance and support strategic business decisions.
The role sits at the intersection of analytics, data science, and go-to-market strategy. The successful candidate will lead data scientists and collaborate closely with Marketing, Finance, Product, Sales, and GTM leadership to translate customer behavior and funnel performance into measurable business outcomes.
The Senior Manager will help shape how the organization measures, diagnoses, and improves funnel performance while identifying risks, opportunities, and growth drivers.
Key Responsibilities
- Lead, mentor, and develop a high-performing team of data scientists and senior data scientists.
- Drive data science and analytics insights across the go-to-market funnel, with a strong focus on acquisition, conversion, trials, and gross new ARR.
- Lead the business performance cadence by delivering recurring performance insights and clear narratives around key performance drivers.
- Develop actionable recommendations addressing business risks, opportunities, and growth drivers.
- Partner with Marketing, Finance, GTM, Sales, and Product leadership to develop strategies and prioritize business opportunities.
- Support investment and resource allocation decisions through data-driven analysis.
- Apply advanced analytics and data science methods, including segmentation, forecasting, experimentation, and predictive modeling.
- Improve analytical rigor and business storytelling across the organization.
- Expand the use of advanced analytics to support scalable and effective decision-making.
- Translate customer behavior and funnel metrics into clear business recommendations and growth opportunities.
Required Qualifications
- 10+ years of experience in analytics, data science, or a related quantitative field, with significant business-facing experience.
- 4+ years of people management experience, including leading and developing high-performing teams of analysts or data scientists.
- Strong understanding of digital acquisition, lifecycle management, retention, and subscription or product-led growth models.
- Demonstrated ability to connect customer behavior and funnel metrics to business outcomes such as conversion, retention, and ARR growth.
- Experience establishing and managing recurring business performance reviews, executive updates, and insight-generation processes.
- Strong cross-functional leadership skills and experience influencing senior stakeholders across Finance, Marketing, Product, GTM, and Sales.
- Strong foundation in analytics and data science methodologies, including experimentation, forecasting, segmentation, and predictive modeling.
- Proficiency in SQL and Python or R.
- Experience with data visualization tools such as Tableau or Power BI.
- Excellent communication skills and executive presence, with the ability to translate complex analysis into clear business recommendations.
- Bachelor’s degree in a quantitative field.
Preferred Qualifications
- Advanced degree or equivalent experience in Analytics, Data Science, Statistics, or a related quantitative discipline.
- Master’s degree in Analytics, Data Science, Statistics, or a related field.
- MBA or equivalent business experience.
- Experience leading data science teams supporting go-to-market organizations.
- Strong understanding of digital customer journeys and growth strategies.
- Experience partnering with senior executives to influence business strategy through data and analytics.
Disclaimer
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