About The Position

A global pharmaceutical company is seeking a senior business systems analyst to support commercial content platforms and the shift toward AI-assisted content production. The analyst will work between business stakeholders, external system integrators, and AI/ML developers, translating business needs into clear functional and technical requirements. The role covers content supply-chain workflows, platform implementation and enhancement, integrations between AI orchestration and existing or legacy systems, delivery coordination, and recommendations for scalable, governed content processes. The position is a project-based contract in the San Francisco Bay Area with a hybrid work arrangement.

Requirements

  • Experience in business or systems analysis on enterprise marketing content platforms, ideally in pharma or another regulated environment.
  • Understanding of how marketing content moves through an enterprise technology stack, including workflow tools, DAM, and production and journey tools such as AJO.
  • Comfort with API-based integrations and enterprise architecture.
  • Track record of working with external vendors and delivery teams.

Nice To Haves

  • Working knowledge of the Adobe content stack, including Workfront, Experience Manager/Assets, Express, and Firefly, and/or Veeva Vault PromoMats.
  • Exposure to generative AI in content workflows, including guardrails and compliance.

Responsibilities

  • Own functional requirements for modular content, derivative and de novo content creation, assembly, and composition workflows.
  • Serve as the first point of contact for product questions, feature requests, and troubleshooting.
  • Coordinate delivery with system integrators and ensure builds align with functional designs and user stories.
  • Track milestones, delivery risks, and cross-workstream dependencies through release.
  • Support implementation and enhancement of Adobe Express, Creative Cloud, and content assembly platforms.
  • Document how AI agents source data from workflow tools, generate draft content, retrieve metadata from DAM, and pass content to downstream systems via API.
  • Work with AI/ML developers to define how the orchestration layer connects to existing and legacy systems.
  • Recommend scalable, governed content processes and operating models.
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