Data Science and Analytics Manager
US$170,000 – US$200,000 / yr base salary
Posted 10 Jun 2026
Advertised as “Senior Manager, Data Science & Analytics”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- People management
- Employment
- Remote
| Base salary | US$170,000 – US$200,000 / yr |
|---|
About Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a Senior Manager, Data Science & Analytics to lead and evolve Customer.io's 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 Customer.io 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.