Project Manager - Growth Packaging Strategy Consumer Video/Streaming
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AI Summary
The Project Manager will develop end-to-end business cases and design low-investment testing strategies for content and network portfolio decisions. They will lead the analysis of quantitative insights to inform packaging recommendations, pricing strategies, and customer retention initiatives.
Project Manager - Growth Packaging Strategy Consumer Video/Streaming
Department: Business Analytics
Employment Type: Full Time
Location: Remote - United States
Reporting To: Michael Horan
Compensation: $120,000 - $140,000 / year
Description
Department/Division: Business Analytics
Summary:
This role is responsible for developing end-to-end business cases, including market sizing, hypothesis development, cannibalization assessment, and the design of low-investment testing strategies prior to full-scale implementation.
Job Responsibilities
Job responsibilities:
Essential Functions:
- Own ongoing Add/Drop content and network portfolio decisions, evaluating opportunities based on programming costs, customer engagement, churn impact, and competitive positioning.
- Develop consumer packaging recommendations by translating complex content, carriage economics, and business trade-offs into clear, actionable strategies.
- Lead the analysis and interpretation of quantitative insights from market research, competitive intelligence, customer surveys, UX feedback, call center data, and churn trends to inform business decisions.
- Partner with cross-functional teams to deliver data-driven recommendations that support content strategy, packaging optimization, and customer retention initiatives.
- Guide analytical workstreams and leverage business insights to identify growth opportunities, optimize customer value propositions, and improve overall business performance.
- Apply deep expertise in pay-tv, streaming, and telecommunications to shape package construction, pricing strategies, content economics, and carriage negotiations.
- Identify and capitalize on opportunities within contractual, content, and pricing frameworks to create innovative consumer offerings and drive business growth.
- Assess competitive market dynamics and evolving customer preferences to recommend strategic content and packaging enhancements that strengthen market position. Stress-test every recommendation against a credible opposing view and challenge stakeholder assumptions (while welcoming the same), backed by strong written and verbal storytelling.
Position type
- Full time
Job Qualifications
Education/Certifications:
- Bachelor’s degree in Business
Preferred Education/Certifications:
- Economics, Finance, Marketing, or related field preferred
Experience:
- Experience evaluating complex business decisions that span multiple products, customer segments, and cross-functional organizations.
Skills and Qualifications:
- Strong financial modeling, forecasting, business case development, and strategic analysis skills.
- Advanced Excel and PowerPoint skills with the ability to translate complex analyses into clear, executive-ready recommendations.
- Experience querying, validating, and analyzing data using SQL and related tools.
- Experience with data visualization and business intelligence platforms such as Power BI, Tableau, or similar tools.
- Ability to evaluate business opportunities from customer, marketing, financial, and operational perspectives.
- Demonstrated ability to challenge assumptions, simplify complex problems, and influence strategic decision-making.
- Experience in pricing, offer strategy, customer acquisition, retention, and lifecycle marketing.
- Experience in subscription-based, streaming (SVOD), telecommunications, media, or other recurring revenue businesses.
- Collaborative mindset with strong business judgment and the ability to thrive in a fast-paced environment.
- Experience working with customer research, survey, contact center, and segmentation data.
Preferred Skills and Qualifications:
- Familiarity with Databricks and Lakehouse environments.
- Exposure to AI, automation, or LLM-enabled tools for market monitoring and analysis.
- Experience with Python or R for data analysis.
- Familiarity with subscriber, churn, audience measurement, or media analytics.
- Understanding of A/B testing and test design methodologies.
Physical Requirements : N/A
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
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