Senior Manager, Data Science & Analytics

About the role

Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a Manager, Data Science & Analytics to lead and evolve our internal data science & analytics function. This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement.

In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies.

Success in this role requires strong leadership, analytical and technical rigor, and business acumen. We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping us move faster and operate smarter as we scale.

What we value

Business impact through data: We focus on delivering value over reporting and find the right balance between technical rigor and business pragmatism.

Strategic partnership: We bring ideas to the table and help our partners shape priorities, challenge assumptions, and identify opportunities — not just respond to requests.

Ownership and rigor: We hold ourselves to a high standard, sweating the details and ensuring our analyses, assumptions, and recommendations are accurate, trustworthy, and actionable.

Leadership and development: We believe great teams are built through coaching, challenge, and continuous growth, helping people do the best work of their careers.

What you'll do

• Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
• Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
• Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
• Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.
• Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.

What we're looking for

• 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
• Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
• Advanced SQL skills and proficiency with Python or similar analytical tools.
• Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
• Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
• Comfortable balancing strategic leadership with hands-on analytical work when needed.
• Experience working with modern analytics platforms.