Director Subscriber Growth Forecasting

Job Title: Director - Subscriber Growth Forecasting

Location: New York NY (Preferred) / Los Angeles CA will also work - Onsite

Contract

Job Description
The Director of Subscriber Forecasting will lead the development and optimization of forecasting models for subscriber growth churn and lifetime value (LTV). This role serves as a strategic liaison across Data Science Marketing Finance and BI teams ensuring accurate projections informed decision-making and optimized marketing investments. This role will help with strategic initiatives including national and targeted promotions. The ideal candidate combines analytical expertise with strong cross-functional collaboration skills to drive business impact.

Responsibilities

• Own subscriber forecasts and measure performanceVD2.1 including subscriber acquisition by cohort and short- and long-term subscriber retention in close collaboration with the Data Science marketing and finance teams to help model revenue and future growth trends.
• Lead process to collect and analyze model inputs across acquisition retention and partnership leads to incorporate all perspectives and analyze how different promotions and platforms impact the business
  
• Analyze subscriber growth and churn to identify factors that drive performance describe reasons for variance to plan and identify potential levers to accelerate business growth.
• Collaborate with the Data Science Title Marketing and Paid Media teams on developing and maintaining forecasts for new starts churn and subscriber base.
• Act as the key liaison between Marketing Finance BI and Data Science teams to ensure alignment on subscriber goals with a seamless forecasting process.
• Develop platform-level forecasts and allocate marketing budgets using MMM to optimize performance across channels.
• Provide regular updates on weekly and monthly reporting on pacing actuals vs. goals and forecast accuracy.
• Partner with BI teams to automate reporting and dashboards for the executive team.
• Develop promotional scenarios with incrementality goals. And perform post-promotion assessments against business case goals to measure impact.

Qualifications

• 8 years of experience in forecasting analytics or strategic planning within subscription-based or media businesses.
• Strong proficiency in forecasting methodologies statistical modeling and scenario planning.
• Strong understanding of retention cohorts and curves
• Advanced Excel skills; experience with BI tools and data visualization platforms (e.g. Tableau Power BI).
• Proficiency in writing and optimizing SQL queries to extract analyze and manipulate data.
• Excellent communication and stakeholder management skills.
• Curiosity for user experiences powered by machine learning algorithms and recommendation systems.
• Experience working with multi-platform products on mobile web and OTT.

PREFERRED SKILS

• Experience working in digital streaming domain
• Familiarity with machine learning techniques and predictive modeling.
• Ability to develop scripts in Python (or similar languages such as R) for data manipulation and modeling.
• Capability to work in a fast-paced and constantly changing environment.

EDUCATION AND EXPERIENCE

• Analytical and strategic thinker with strong business acumen.
• Highly collaborative and able to work across multiple teams and 3.1NM3.2MN3.3MN3.4
• Detail-oriented with a focus on accuracy and continuous improvement.
• Bachelors degree in Business Economics Data Analytics or related field; MBA preferred.