Adobe

Senior Manager, Data Analytics – Content

Adobe

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkWashingtonUnited States

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Salary

💰 $144,800 - $284,325 per year

Job Level

About the role

  • Own and evolve a portfolio-level intelligence framework that measures content value, utilization, and performance across multiple businesses, informing planning and investment.
  • Assess content supply health across depth, fragmentation, contributor and geographic diversity, metadata, and coverage to drive sourcing priorities and readiness for emerging customer needs.
  • Identify and prioritize strategic content gaps by analyzing search behavior, market signals, enterprise requirements, and generative prompt patterns, shaping acquisition and production roadmaps.
  • Lead advanced analytics initiatives to optimize supply-side economics, including ranking efficacy, contributor yield, marketplace liquidity, and monetization pathways.
  • Develop predictive and forecasting models that anticipate shifts in demand, creative trends, AI training requirements, and revenue contribution, guiding multi-year content strategies.
  • Lead all aspects of building visualization dashboards, important metrics, and reporting frameworks that surface sourcing efficiency, contributor performance, and content economic value.
  • Partner cross-functionally across product, engineering, content, finance, and enterprise teams to operationalize insights, evolve business models, and accelerate real-time predictive decisions.
  • Lead, develop, and mentor a hard-working analytics team, strengthening talent capabilities, driving analytical rigor, and maturing organizational intelligence practices at scale.

Requirements

  • 10+ years of experience in Business Intelligence, Analytics, or Data Science within digital media, marketplaces, or eCommerce environments.
  • Strong analytical and statistical skills with the ability to structure ambiguous business problems into measurable frameworks.
  • Proficiency in SQL (or Hive), Python or R, ETL development, and cloud-based data platforms (e.g., Databricks).
  • Proven experience building and operationalizing predictive models, forecasting systems, and segmentation frameworks.
  • Experience with cloud-based data platforms (e.g., Databricks) and advanced statistical modeling, and designing executive-ready dashboards using Tableau or equivalent.
  • Demonstrated ability to influence senior leadership through clear data storytelling and strategic recommendations.
  • Experience leading data-informed transformation and multi-year, cross-business initiatives using emerging AI/ML capabilities.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Business IntelligenceAnalyticsData ScienceSQLPythonRETL developmentpredictive modelsforecasting systemsstatistical modeling
Soft Skills
analytical skillsdata storytellingstrategic recommendationsleadershipmentoringcross-functional collaborationorganizational intelligenceanalytical rigor