Senior Manager, Data Analytics - Content

Adobe • Seattle, WA

16h

About The Position

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity 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