Job Description
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Company Overview
A leading global technology company is seeking a Senior Manager, GTM Data Science to lead customer and business analytics for its Creative Professional portfolio. The portfolio spans creative software products, flagship applications, and generative AI solutions that empower millions of individual creators, creative professionals, and businesses.
The organization is focused on understanding customer behavior, improving product engagement, supporting business growth, and using data science to guide strategic decisions. The successful candidate will work at the intersection of data science, product analytics, marketing analytics, and business performance management.
The Senior Manager, GTM Data Science will lead customer and business analytics across the Creative Professional portfolio. This role will oversee analysis of the complete customer funnel, including active users, product engagement, web traffic, conversion, orders, retention, and financial performance.
Key Responsibilities
- Lead, mentor, and develop a high-performing team of data scientists.
- Own customer and business analytics for the Creative Professional portfolio.
- Analyze end-to-end funnel performance across product and digital surfaces, from active users and engagement through traffic, conversion, orders, retention, and ARR impact.
- Identify customer behaviors, creative workflows, product actions, and engagement patterns that influence conversion, retention, and long-term customer value.
- Develop a deep understanding of customer journeys, including how customers discover, adopt, and move between applications and workflows.
- Lead weekly business performance reviews and provide clear narratives regarding performance drivers, risks, opportunities, and recommended actions.
- Partner with Product, Marketing, Finance, GTM, and Sales leaders to connect product usage, customer engagement, acquisition, retention, and financial performance.
- Help establish funnel goals, targets, and leading indicators for growth.
- Guide cross-functional teams in sustaining business momentum and identifying opportunities for growth.
- Apply advanced analytics and data science techniques, including segmentation, forecasting, experimentation, funnel diagnostics, and predictive modeling.
- Improve analytical rigor, business storytelling, and executive communication.
- Engage regularly with senior and VP-level Product and GTM leaders.
- Translate complex data and customer behavior into actionable recommendations that influence product roadmaps, marketing strategies, and business planning.
- Identify business risks and opportunities and provide data-driven recommendations to senior leadership.
Required Qualifications
- 10+ years of experience in analytics, data science, or a related quantitative field, with strong 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 funnels, subscription businesses, product-led growth, customer engagement, conversion, and ARR-based business models.
- Demonstrated ability to connect customer behavior, product usage, funnel performance, and financial outcomes into a clear business narrative.
- Experience managing business performance cadences, including weekly executive reviews, performance diagnostics, target tracking, and insight generation.
- Strong cross-functional leadership skills with 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 using 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.
- Advanced degree or equivalent experience in Analytics, Data Science, Statistics, or a related field is preferred.
- MBA or equivalent experience is a plus.
Disclaimer
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