Senior Manager, Data Analytics - Content

Adobe • Seattle, NY

6d

About The Position

The Senior Manager, Business Intelligence, Content is a strategic leader responsible for driving predictive insight for content optimization across multiple business units. This role shapes a multi-year intelligence strategy that improves content utilization, marketplace liquidity, and readiness for emerging customer and AI model-training needs. You will transform analytics into scalable, automated intelligence that informs content acquisition, monetization pathways, contributor performance, and portfolio-level investment. Partnering cross-functionally with product, engineering, finance, and content operations, you will translate complex data into actionable recommendations that influence prioritization and business model evolution. This leader will also build and develop a high-performing analytics team, elevate organizational intelligence maturity, and accelerate real-time, data-driven decision support 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed