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.

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.

Senior Manager, Data Analytics – Content

Key skills