Enterprise Digital Asset Platform

Target runs an internally built enterprise digital asset management platform supporting item, creative, and marketing assets across the organization. I led product strategy for the platform from 2019 to 2025, through several phases of growth, integration, and organizational change.

The work has been closer to stewarding a system than delivering a tool. The platform sits at the intersection of planning, collaboration, distribution, and reuse, and serves internal teams, agencies, vendors, and partners. It is embedded in workflows the business depends on, so it has to keep operating while the organization around it changes.

Enterprise asset management is a set of interdependent problems rather than a single problem. Teams move at different speeds and their workflows differ. Some depend on high-volume ingestion. Others need immediate confirmation to keep planning, review, and approval moving. Standards have to be enforced without blocking progress, and reliability has to hold as demand grows. The requirement was a shared platform that could support those different needs, maintain governance, and perform reliably while fitting how teams already work. Centralizing files or replacing legacy processes would not have met it.

The system is treated as a platform rather than a project. In practice that means enablement rather than enforcement, services and integrations rather than isolated features, and long-term adoption rather than short-term velocity. Partnership with stakeholders has been foundational: listening before directing, and treating problems as shared rather than as requirements to triage.

As the platform scaled, two concerns became the most consequential: metadata governance and asset distribution. The platform is the system of record for asset publication, so governance, access controls, and lifecycle requirements are applied at the point of publication rather than downstream. That treats assets as long-lived enterprise resources rather than static files, and it is the foundation for rights awareness, utilization visibility, and AI-enabled enrichment. The governance model, the enrichment pipeline, and the evaluation environment that feeds it are each described in their own case study.

Adoption followed from solving workflow problems rather than from mandate. The clearest example is the upload pipeline, where high-volume and time-sensitive workflows competed for the same queue. A dedicated fast path for approved time-sensitive use cases gave those teams confirmation in seconds without reducing bulk throughput, and teams that had been working around the platform started using it. That pattern is covered in the Fast-Pass Uploads case study.

The platform has been through changes in organization, priorities, and underlying assumptions. What has held it together is enough flexibility to adapt and enough structural clarity to stay coherent while adapting. The platform produces recurring annual value through consolidation of tools, automation of manual work, and AI-enabled enrichment, and that value grows each year because each new capability builds on a governed foundation that teams already trust.