About The Position

The Director of Subscriber Forecasting will lead the development and optimization of forecasting models for subscriber growth, churn, and lifetime value (LTV). Based out of New York City, this role serves as a strategic liaison across Data Science, Marketing, Finance, and BI teams, ensuring reliable 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 well-developed cross-functional collaboration skills to drive business impact.

Requirements

  • Bachelor's degree in Business, Economics, Data Analytics, or related field; MBA preferred
  • 8+ years of experience in forecasting, analytics, or strategic planning within subscription-based or media businesses
  • Solid proficiency in forecasting methodologies, statistical modeling, and scenario planning
  • Proficient knowledge 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, review, and manipulate data
  • Exemplary 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

Nice To Haves

  • Experience working in the digital streaming domain
  • Knowledge of 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 dynamic and constantly changing environment
  • Analytical and strategic thinker with solid business acumen
  • Highly collaborative and able to work across multiple teams and priorities
  • Detail-oriented with a focus on accuracy and continuous improvement

Responsibilities

  • Own Paramount+ subscriber forecasts and measure performance, 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 evaluate model inputs across acquisition, retention, and partnership leads to incorporate all perspectives and examine 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 Market Mix Modeling (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

Benefits

  • Attractive compensation and comprehensive benefits packages.
  • Generous paid time off.
  • An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
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