Senior Manager, Product & Program Analytics

Ignite Reading is a mission-driven public benefit corporation focused on addressing the education crisis in America through one-to-one virtual tutoring. The Senior Manager, Product & Program Analytics will lead a collaborative team to deliver insights and measurement frameworks that guide curriculum and product strategies, playing a crucial role in shaping how students learn to read.

Responsibilities:

• Lead, mentor, and develop a team of three: a staff data scientist and two analysts, fostering a collaborative, supportive, and growth-focused environment
• Provide technical guidance and hands-on support on high-stakes analytics and data science projects, ensuring the team has the tools, context, and skills needed to do their best work
• Actively invest in the team’s AI fluency and utilization, evaluating emerging AI tools and techniques and leveraging Claude Code, Claude Cowork, and related tools to accelerate analytical workflows and extend team capacity
• Own and advance program analytics in support of Ignite Reading’s Academics team, providing rigorous measurement of curriculum performance and student success, including assessment against third-party benchmarks such as DIBELS, iReady, and STAR, and conducting analyses to inform what types of interventions to develop and to determine how effective they are
• Own and advance product analytics across Ignite Reading’s platform, measuring feature adoption, student engagement, and usage patterns to inform product strategy and prioritization
• Help drive the development of the company’s experimentation platform, establishing best practices for experimental design, analysis, and interpretation
• Roll up your sleeves alongside the team on selected analytics projects: responding to high-priority ad hoc requests, designing prototypes to accelerate builds, and personally owning discrete analyses end to end
• Own sprint management, project execution, and delivery for the Product & Program Analytics team, conducting planning sessions and leading retrospectives to continuously improve team processes
• Build and maintain strong cross-functional relationships with Product and Academics stakeholders, translating business and academic questions into analytical initiatives and communicating findings clearly to non-technical audiences
• Collaborate on the team’s strategic roadmap with the VP of Data & Analytics, aligning project priorities with organizational goals and tracking progress against timelines

Requirements:

• 7–10+ years of experience in analytics and data science in ed-tech or another relevant tech industry, with 2–4+ years as a senior manager in a data analytics or data science function. Must have meaningful prior experience as an individual contributor in both analytics and data science
• Proven track record managing and developing analysts and/or data scientists, with a genuine investment in their growth
• Highly proficient in SQL and Python for analysis, modeling, and data manipulation; experienced with Tableau or comparable BI tools; familiar with DBT and modern cloud data warehouses
• Strong quantitative foundation: proficiency in statistical modeling, experimental design, and rigorous analytical methods applied to real business or learning program questions
• Meaningful hands-on experience building agentic workflows, Claude Skills, or LLM-based automations (specifically using Claude Code and Claude Cowork) to accelerate analytical and ML workflows on the job
• Demonstrated experience with Agile/sprint methodologies in an analytics context
• An exceptional communicator who can translate complex technical concepts into clear business actions for a variety of audiences
• A calm self-starter who thrives in a fast-paced, high-growth, start-up environment and is adept at simultaneously managing multiple workflows
• Highly passionate about our mission to teach kids to read
• Background in curriculum analytics, learning science, or ed-tech product analytics
• Experience working with student, education, or learning data; familiarity with PII handling requirements
• Experience with applying experimentation methods and best practices