Manager, Customer Intelligence
Listed on 2026-07-11
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IT/Tech
Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Overview
Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and aims to power every television in the world. Roku connects consumers to content, enables publishers to build and monetize audiences, and provides advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable contribution in a fast-growing company where you can delight millions of TV streamers and gain experience across disciplines.
We are a fast-growing public company where no one is a bystander.
About the teamThe Customer Intelligence team, part of the Planning & Optimization organization, is focused on understanding Roku’s customers. We turn complex data into clear, actionable insights that drive customer growth, improve retention, and optimize engagement across the streaming ecosystem. We work with business stakeholders, product, marketing, and engineering teams to define, measure, and activate customer strategy.
About the roleRoku seeks a Senior Manager, Customer Intelligence to lead a high-impact technical team and partner with senior leaders and cross-functional stakeholders. This role combines technical depth with strategic activation and owns a focused set of high-value work streams, including customer segmentation, causal impact measurement, retention analytics, and activation reporting. You will manage analytical and engineering contributors who build scalable systems and infrastructure.
The ideal candidate has experience in technical analytical environments and in shaping strategy through intelligence, with executive-ready storytelling and a pragmatic, AI-powered approach to work. This is a leadership role for someone who is visionary about analytics direction and execution.
For New York Only — The estimated annual salary for this position is between $182,750 and $262,600. Compensation packages are based on factors unique to each candidate, including skill set, certifications, and location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you ll be doing- Defining and leading the Customer Intelligence measurement agenda, including customer segmentation frameworks, causal impact analyses, retention analytics, and activation reporting
- Scoping ambiguous business questions, translating them into analytical problems, and owning the output end-to-end
- Setting and upholding a high standard for analytical storytelling, ensuring all deliverables — presentations, briefings, scorecards — are decision-ready for senior and executive audiences
- Leading and developing a small team of analytical talent that partners with dedicated engineering and data science support and collaborates with Roku's broader core analytics organization
- Partnering with your team to product ionize methodologies and build reusable datasets, segmentation schemas, and analytical frameworks — including SQL/Python-based workflows and Airflow pipelines — that the broader analytics organization can leverage
- Facilitating analytical conversations that connect data to business decisions across product, marketing, finance, and strategy
- Maintaining hands-on involvement by QA-ing technical work, pressure-testing methodology, and reviewing SQL and Python when it counts
- Actively using AI tools such as LLM-based assistants to accelerate team output across analysis, narrative generation, and workflow automation
- Serving as an active, collaborative partner to the broader analytics organization, aligning on shared methodology and ensuring your team's work extends organizational capability
- 8–12 years of experience in analytically-grounded roles, with at least 3 years leading teams or functions, ideally within consumer technology, streaming, subscription, or a data-intensive business
- A strong technical foundation with experience in analytical and data science environments, including proficiency in SQL and working knowledge of Python
- Demonstrated experience driving business impact through insights — influencing decisions, shaping…
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