Job Title: Director - Subscriber Growth Forecasting
Location: New York, NY (Preferred) Los Angeles CA, will also work
Work Mode: Onsite
ONLY USC
Mandate - digital streaming domain experience is must
Client: Media & Entertainment
Skills
Mandatory Skills : Content Workflow Management, E2E Media Supply Chain
Required skills .
("Director Subscriber Forecasting" OR "Director Growth Analytics" OR "Director Subscription Analytics" OR "Director Customer Analytics" OR "Director Marketing Analytics" OR "Director Business Analytics" OR "Director Strategic Analytics" OR "Director Retention Analytics" OR "Director Audience Analytics" OR "Director Streaming Analytics" OR "Director Consumer Analytics" OR "Director Forecasting" OR "Senior Manager Subscriber Analytics" OR "Senior Manager Growth Analytics" OR "Head of Subscriber Growth" OR "Head of Growth Analytics" OR "Head of Retention Analytics" OR "Director CRM Analytics" OR "Director Lifecycle Analytics" OR "Director Revenue Analytics")
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 performance[VD2.1], 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 priorities.[VD3.1][NM3.2][MN3.3][MN3.4]
Detail-oriented with a focus on accuracy and continuous improvement.
Bachelor’s degree in Business, Economics, Data Analytics, or related field; MBA preferred.
Regards
Pavan
VDart Inc
Ph: (470) 251-2584 Ext:1866
Email: Pavankumar.s@vdartinc.com
Website: https://vdart.com
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