Manager 2, Data Science - Mailchimp Customer Success

Intuit; New York (NY); On-site; USD 201,000 - 272,500; Full time

Job summary

A leading technology company is seeking a Manager for its Customer Success Data Science & Analytics team. This role involves developing analytics strategies to enhance customer engagement and retention. The ideal candidate will have over 7 years of experience in analytics, leading teams, and a strong grasp of data science techniques. The position offers a competitive salary within the New York range of $201,000 to $272,500, based on skills and experience.

Qualifications

• 7+ years of experience in analytics and data science.
• Strong background in customer success or product analytics.
• Experience leading high-performing analytics teams.

Responsibilities

• Develop and drive the data and analytics strategy.
• Lead and mentor a world-class team of data scientists and analysts.
• Design frameworks to measure Customer Success program impact.

Skills

Customer success analytics

Data modeling

Statistical analysis

Communication skills

SQL proficiency

Python programming

AI/ML technologies

Education

Bachelor’s degree

Advanced degree in quantitative field

Tools

SQL

Python

Tableau

Power BI

Looker

Job description

Overview

The Mailchimp Customer Success (CS) Data Science & Analytics team is seeking an exceptional Manager to lead analytics and data science efforts that empower our Customer Success organization to deliver meaningful outcomes for Mailchimp customers. In this pivotal role, you will drive experimentation, innovation, and data‑driven decision‑making to improve customer engagement, retention, and success across the Mailchimp ecosystem. You will collaborate cross‑functionally with Mailchimp Customer Success, Product, Marketing, and Data Engineering teams to develop analytical strategies that influence customer journeys and operational efficiency. Your leadership will help shape the future of how Intuit enables Customer Success at scale—combining data, AI, and experimentation to deliver measurable business impact.

Responsibilities

• Develop and drive the data and analytics strategy for Mailchimp’s Customer Success organization, ensuring alignment with Intuit’s customer success vision and priorities.
• Partner with business and operations leaders to identify high‑impact opportunities, prioritize investments, and define measurable success outcomes.
• Lead and mentor a world‑class team of data scientists and analysts, fostering technical and strategic excellence across experimentation, causal inference, and advanced modeling.
• Design and implement frameworks that measure and optimize the impact of Mailchimp’s Customer Success programs—covering engagement, retention, and support effectiveness.
• Build scalable measurement systems and data products that provide actionable insights into customer behavior and health.
• Activate insights to inform strategic decisions, improve processes, and drive better customer experiences through Mailchimp’s human and digital success channels.
• Partner with Product and AI teams to evaluate and integrate AI/ML and LLM‑driven experiences into the customer journey, including measuring their impact on satisfaction and success outcomes.
• Champion experimentation rigor and data excellence, advancing methodologies in A/B testing, causal inference, and predictive modeling.
• Collaborate with data engineering to ensure data quality, accessibility, and visualization excellence, enabling the team to deliver fast, accurate insights.
• Role‑model Intuit’s “Win Together” value—building collaboration across Mailchimp, Intuit’s Customer Success, and cross‑functional teams.

Qualifications

• 7+ years of experience in analytics and data science, with a strong background in customer success, marketing, or product analytics.
• Proven success in leading high‑performing analytics or data science teams.
• Expertise in statistical analysis, experimentation (A/B, multivariate, and hierarchical models), and causal inference methods (e.g., propensity score matching, DiD, synthetic control).
• Proficiency in SQL and Python; familiarity with BI tools (e.g., Tableau, Power BI, Looker) is a plus.
• Experience applying AI/ML and LLM technologies in analytics or customer‑facing use cases.
• Strong ability to connect data insights with business strategy and influence executive decision‑making.
• Excellent communication skills—able to translate complex analytics into clear business narratives.
• Bachelor’s degree required; advanced degree in a quantitative field (statistics, economics, computer science, data science, or related) preferred.

Compensation

See company compensation and benefits at Intuit: Careers > Benefits. Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location.

Base pay range: Bay Area California $200,000–271,000; Southern California $183,500–248,500; New York $201,000–272,500.