Description
We are seeking a Sr. Manager, Data Analytics – Experimentation & Product Analytics to lead a team of analysts responsible for end-to-end experimentation, advanced product analytics, and measurement of digital initiatives.
The successful candidate will establish scalable experimentation frameworks, drive analytical rigor, and leverage AI/ML capabilities to automate anomaly detection, streamline experiment monitoring, and accelerate insight generation.
Key responsibilities include:
- Partnering with cross-functional stakeholders to identify high-impact opportunities, define success metrics, prioritize initiatives, and translate complex analytical findings into actionable recommendations that influence product strategy and business outcomes
- Developing a high-performing team, championing analytical innovation, and enabling self-service experimentation and analytics capabilities across the organization
- Leading and developing a team of analysts with expertise in end-to-end experimentation, advanced statistical techniques, and product analytics
- Ensuring experiment integrity, data quality, statistical rigor, and measurement frameworks to ensure reliable decision-making
Requirements:
- Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, Data Science, Information Technology, or equivalent work experience
- Minimum of 8 years of experience in advanced analytics, experimentation, product analytics, or data science, including at least 2 years of people management experience
- Strong expertise in end-to-end experimentation, including hypothesis development, A/B and multivariate testing, experimental design, statistical power analysis, and post-hoc analysis
- Hands-on experience with advanced statistical techniques, including causal inference, Bayesian methods, regression modeling, variance reduction, and predictive analytics
- Experience leveraging AI/ML and Generative AI to automate anomaly detection, experiment monitoring, root-cause analysis, and analytical workflows
- Advanced proficiency in SQL, Python, or R, with experience working on large-scale datasets and modern cloud data platforms
- Familiarity with experimentation platforms, data visualization tools, and scalable analytics solutions
Benefits of this role include:
- Competitive salary ($115,000.00 - $206,000.00)
- Comprehensive health benefits and programs
- 401(k) and employee discount
- Short-term disability, long-term disability, paid sick leave, paid national holidays, and paid vacation