We are looking for an experienced and highly-motivated Senior Manager to lead our Business Model & Monetization Data Science team. You will lead a team of data scientists and analysts responsible for developing and utilizing data to drive insights and decisions informing TurboTax's product lineup, SKU inclusions, and pricing strategy to drive improved market share and total product revenue.
The ideal candidate must have a strong background in data science, inference, automation and experimentation, be able to communicate effectively with stakeholders, and have a passion for driving data-informed solutions.
Responsibilities
- Lead a team of data scientists and analysts in the development and execution of monetization analytics projects to support revenue growth and profitability.
- Build A/B testing and experimentation frameworks to optimize pricing, product design, packaging, and ad placements across all customer segments.
- Develop machine learning models to build predictive models for ad monetization and subscription retention for different customer cohorts.
- Drive initiatives to identify user trends and behavior patterns, and develop conversion and retention strategies accordingly
- Collaborate with cross-functional stakeholders, such as engineering, product management and marketing teams, to identify opportunities for monetization growth.
- Manage monetization data pipelines by identifying automation opportunities for data collection, extraction, and management to improve data quality, consistency, and scalability.
- Analyze and report on monetization metrics such as ARPU, CPI, LTV, churn, and ROI, to provide actionable insights to the executive team and generate business models that can be used to evaluate alternatives.
- Advise the business on how to use data to support their strategic goals and challenging the stakeholders with insights that drive business decisions.
- Hire, train and mentor a team of data scientists, analysts, and ensure they stay up to date with industry standards, technology, and best practices.
- Think in a high-level way about monetization strategies, i.e: subscription based models, advertising, bundling, and recommend which model suits the clients business.
