Digital Asset Manager

About the Role

We are hiring an experienced Digital Asset Manager to own how Hurrdat captures, organizes, secures, and distributes the photo, video, audio, and design assets generated across Hurrdat Marketing, Hurrdat Media, Hurrdat Sports, Hurrdat ONE, our in‑house video and creative production teams, and our enterprise client work.

This is not a training‑wheels role. The expectation on day one is that you already know how to run a DAM operation t we will train you on is how Hurrdat works today, who produces what, and where the seams are. What got us here is a decade of pragmatic, cobbled‑together systems that served a smaller operation. None of it is sacred.

We are actively rebuilding around custom cloud and data infrastructure being architected on Google Cloud, AWS and Snowflake, and we expect this role to help drive the migration off legacy tools like Photo Shelter into something purpose‑built for our volume and our use cases.

The candidate we want leads with an AI‑first mindset. Before you propose adding headcount, a vendor, or a manual process, your first question should be how AI, automation, or smart architecture can solve it. We expect you to bring a point of view on AI‑assisted tagging, transcription, search, rights management, derivative generation, and workflow orchestration, and to push us on what is possible.

• Asset architecture and migration. Lead the transition off legacy systems like Photo Shelter onto our emerging cloud and data infrastructure. Partner directly with our Senior AI/ML Engineer and Data Science Director on storage, retrieval, search, and access architecture across Google Cloud, AWS and Snowflake.
• Library operations across divisions. Govern the unified asset library serving Hurrdat Marketing, Hurrdat Media, Hurrdat Sports (live game and event capture, podcasts, video production), Hurrdat ONE, in‑house video and creative production and enterprise client work.
• AI‑first workflow design. Identify, evaluate, and implement AI and automation across ingest, metadata generation, tagging, transcription, search, derivative creation and distribution. Build the case for what to keep manual and what to automate.
• Ingest and standards. Set the standards for how assets enter the library from photographers, videographers, audio engineers, motion designers, and external contributors. Build the protocols that make this routine, not heroic.
• Metadata and findability. Define the metadata schema, taxonomies and naming conventions that make assets findable across teams, projects, clients and time. Push for AI‑assisted enrichment wherever it improves recall without sacrificing accuracy.
• Distribution and access. Build the access model. Make it easy for the right people to find and pull what they need, and difficult for the wrong people to do anything they should not.
• Quality control and audits. Run regular audits for duplication, versioning, file integrity, resolution and format. Resolve issues at the system level, not one file at a time.
• Backup, security and disaster recovery. Own the backup strategy, retention policy and access controls. Coordinate with our internal IT and data leads on enforcement.
• Rights, licensing and compliance. Track and manage usage rights, licensing terms and clearance status for client work, sports content, music, talent likeness and any third‑party assets. Build the system that prevents us from using something we should not.
• Cross‑team enablement. Train and support producers, designers, account teams and creators on how to work inside the system. The goal is self‑service, not gate‑keeping.

• 5 plus years running digital asset management in a high‑volume creative, media, sports or production environment. Coordinator‑level experience alone will not be enough for this role.
• Hands‑on experience leading a DAM migration or full system replacement. You have done this before, not just read about it.
• Direct, hands‑on experience with cloud infrastructure on Google Cloud Platform and AWS, plus working knowledge of Snowflake or a comparable cloud data warehouse. This role partners closely with our Senior AI/ML Engineer and Data Science Director on the…