Project Manager
- ASK Consulting
8 Hours Ago
NA
W2, C2C
Remote
6-10 Years
Required Skills: market sizing, pricing scenarios, sensitivity analysis, tables in Tableau, Power BI
Job Description
Growth & Signature Packaging Strategy Contractor (Consumer Video / Streaming)
Support/lead consumer packaging and pricing business cases end to end for Stream — framing hypotheses, sizing the addressable market, weighing cannibalization risk against signature packages, and proposing low-investment test paths before a full build.
Own Add/Drop decisioning as a core, recurring responsibility—evaluating which networks and content to add or remove based on cost, engagement, churn risk, and competitive positioning, and translating programming economics into clear consumer-packaging trade-offs.
Direct and interpret quantitative work (market sizing, competitive pricing, customer surveys, UX and call-center signals, churn analysis) into a coherent, decision-ready point of view—analytically fluent, though hands-on coding is not required.
Bring required pay-TV, streaming, or telco expertise—understanding how packages are built and marketed, how carriage and content economics work, and where contract or pricing "gray areas" create new opportunities rather than fixed constraints.
Stress-test every recommendation against a credible opposing view and challenge stakeholder assumptions (while welcoming the same), backed by strong written and verbal storytelling. Ongoing, full-time contract engagement.
Required Skills
Advanced Excel / spreadsheet modeling (market sizing, pricing scenarios, sensitivity analysis)
SQL literacy — able to query, pull, and validate data independently (even if not writing complex production code)
Data interpretation and visualization (reading dashboards; building clear charts/tables in Tableau, Power BI, or similar)
Comfort with survey, UX, and call-center data sources and basic segmentation logic
Strong slide/narrative tooling (PowerPoint) to package analysis into decision-ready recommendation
Nice to Have
Databricks familiarity (notebooks, navigating a lakehouse environment)
Exposure to AI/LLM agents or automation for competitive and market monitoring; Python or R for lightweight analysis
Familiarity with subscriber/churn analytics or media-measurement data (Nielsen, Comscore, or internal viewership feeds)
Basic understanding of A/B or in-market test design
