Senior Manager of Content Strategy & Analysis

Roku; Santa Monica (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

Wellness program

Unlimited PTO

Work from home opportunities

Job summary

Roku is seeking a Senior Manager, Content Strategy & Analysis to guide the strategy and analytics for the Content organization across the US, Canada, and UK.

The role spans Licensed/Original, FAST/Live/VOD, and requires partnering with Content, Finance, Core Analytics, Ad Revenue Operations, Subscriptions/Content Distribution Insights, and Product/Engineering to turn data into actionable recommendations that shape the portfolio and inform investment decisions.

Qualifications

• 8+ years in streaming, content strategy, or related analytics roles.
• Strong quantitative skills and proficiency with BI tools.
• Ability to translate data into actionable recommendations for content strategy and investments.

Responsibilities

• shape content strategy roadmap across Licensed / Original and FAST / Live / VOD for US, CA, UK.
• lead end‑to‑end analytics including licensing valuations, rev‑share mix, and originals performance.
• partner with Content, Finance, Analytics, Ads, Product, and Engineering across multiple markets.
• manage a small analytics team and mentor junior analysts.
• translate data insights into executive briefs, dashboards, and playbooks for decision makers.
• drive efficiency in content volume and portfolio performance across formats.

Skills

Leadership

Stakeholder communication

Data-driven decision making

Content strategy

Cross-functional collaboration

Tools

Looker

Tableau

AirTable

Job description

• 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
• 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
• Internal: Content team leadership, Scheduling & Planning, Product / Engineering (Recommendations / Search / UX), Marketing & Merchandising, Ads and Ads Measurement & Analytics, Finance, Central Core Analytics / Data Science, Content Operations
• External: Market intel vendors as needed
• Lift in content discovery and engagement (viewers reached, view starts, hours streamed, user frequency, title diversity, session depth) across covered markets
• Improved title / package ROI and portfolio efficiency (cost/viewer, cost/hour streamed, margin)
• Faster decision cycle times; clear, well‑adopted analyses and playbooks
• High trust with stakeholders; crisp narratives that inform resourcing and roadmap

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities

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