• Build our Internal Data Catalog
• Define the data model across title, asset, and partner levels.
• Establish a clear state model (e.g., ingested, accessible, in pipeline, linked/enriched).
• Own search and discovery across modalities; set metadata standards with Data Lab + Engineering.
• Ensure catalog state is auditable and resilient to refreshes, moves, and deletions.
• Represent Off-Platform Supply
• Create structured visibility into partner supply not yet ingested (potential, cadence, modality coverage, volume estimates).
• Enable GTM to scope deals based on available + accessible supply—not only what’s already in-platform.
• Partner Systems & Enablement (make relationships scalable)
• Provide visibility into partner inclusion in deals, utilization trends, and inventory footprint.
• Reduce partner back-and-forth caused by unclear system truth.
• Partner with Partnerships to ensure relationships are supported by scalable system representations
• Cross-Functional Alignment
• Work closely with:
• Data Access & Delivery: to ensure discoverable supply is deliverable
• Solutions Architecture: to identify catalog gaps surfaced by deals
• Engineering: owns ingestion execution and infrastructure