Senior Manager, Content Strategy & Analysis

Roku•Santa Monica, CA

5d•$185,200 - $265,300•Hybrid

About The Position

Roku is seeking a Senior Manager, Content Strategy & Analysis to help drive the strategy and analysis function for the Content organization across our US, Canada, and UK markets. The scope spans all Content types — Licensed / Original, Entertainment / Sports, FAST / Live / VOD. Working within an established function, you'll partner across Content, Finance, Core Analytics, Ad Revenue Operations, Subscriptions / Content Distribution Insights, and Product / Engineering to turn data into clear recommendations that shape the portfolio and inform investment decisions (licensing valuation, rev-share content mix, originals performance). You'll pair rigorous analysis with strong business judgment, own a defined slice of the insights and valuation workload end-to-end, and manage a team of 3. This is a hands-on role for someone who wants to go deep on content performance and grow into broader strategy leadership.

Requirements

8+ years working in streaming / content strategy, content valuation, or adjacent analytics / strategy functions
Track record contributing to (or helping build) a content strategy / insights function and its operating cadence
Fluency across rev-share, flat-fee licensing, and commissioning, and how each ties to audience, ads, and P&L
Creativity and demonstrated productivity using Claude Code, ChatGPT Codex or other frontier models in day-to-day workplace functions
Product partnership experience: have supported recommendation goals, search coverage, and merchandising / editorial systems with data and analysis
Strong quantitative chops (Excel / BI, title/package ultimates, cohort and churn analysis); comfortable partnering with Data Science on deeper methods
Deep familiarity with BI reporting tools (e.g., Looker, Tableau, AirTable)
Executive communication: converts complexity into crisp guidance across stakeholders
People leadership: manages or mentors analysts and coaches for impact

Responsibilities

Build and support the Content strategy roadmap across Licensed / Original and FAST / Live / VOD for the US, CA, and UK markets; help apply portfolio-mix principles (flat-fee vs. rev-share balance, tentpoles vs. long-tail)
Marry Financial data (content costs) with Platform data (content exposure and performance) to build complete pictures of content performance and efficiency. Translate that analysis into actionable insights for Content, Merchandising / Marketing, and Product / Recommendations teams (what to prioritize/avoid — by content partner, genre, format, window)
Help maintain and extend the data-driven "content picking" / programming playbook that the content licensing and partner-management teams execute
Drive toward efficiencies in content volume across type, genre, share of voice, capacity and KPI dimensions
Iterate on valuation / greenlight / renewal KPIs and processes to keep analysis aligned with business outcomes
Run a nimble "pace of business" insights muscle — answer recurring weekly questions from front-end dashboards and AI agents; partner with Central Core Analytics / Data Science for deep dives as needed
Lead title / package / portfolio valuation for flat-fee licensing (including Sports and Originals commissioning / licensing) across US, CA, and UK; pressure-test deal assumptions, lifetime value, and unit economics
Maintain content performance taxonomies and north-star KPIs; produce clear, executive-ready narratives (briefs / Confluence pages / white papers / PPTs)
Serve as a Content analytics partner to Product & Engineering (recommendation objectives, search coverage, content discoverability) and Merchandising (frameworks and playbooks)
Provide the data and analysis that support capability roadmaps to lift reach, watch time, and title diversity across Roku Channel and premium subscriptions
Contribute to monthly and quarterly performance and strategy reviews with Content leadership and cross-functional partners; drive assigned follow-ups to closure
Partner closely with Ads (inventory optimization, sellable moments) and Finance (budgeting, forecasting, reporting)
Support recurring reporting and dashboard needs with Finance, Core Analytics, Data Engineering, and Data Science; surface data-structure and availability gaps that affect decision-making
Manage, develop, and mentor a team of 1-2 analysts