Summary
EVERSANA INTOUCH is a global, full-service marketing agency network serving the life sciences industry. The Brand Systems Manager, AI, configures and maintains brand standards, templates, and content-generation tools within an AI-native production platform, while reviewing outputs for compliance with brand and channel standards before client delivery.
Responsibilities
- Brand standards in platform — positioning, tone, visual standards, and channel rules structured as platform intelligence, maintained across every production cycle
- Template build and maintenance — email, banner, social, and video templates built to brand and channel specifications during the configuration phase and updated as standards evolve
- Content generation operations — runs the platform's production tools to generate asset sets against the content system, variant logic, and format requirements
- Output quality review — reviews platform output against brand standards and channel specs before any asset reaches client review
- Channel standards interpretation — understands rendering requirements, safe zones, format constraints, and placement rules across channels and ensures templates and outputs meet those standards
- Brand drift identification — catches when output is off and can articulate whether the problem is in the brand configuration, the template, or the content system
- Modeling inclusive behaviors and proactively managing bias
- All other duties as assigned*
Skills
- 2 to 5 years in a production, brand management, or creative operations role at an agency or in a regulated industry environment
- Track record managing brand standards across channels — you know what a brand violation looks like and can articulate why
- Hands-on familiarity with channel production requirements — email rendering, banner specs, safe zones, format constraints — across digital formats
- Pharma or regulated industry experience is a plus; MLR familiarity is helpful but not required
- Experience working in structured review and revision cycles with accountability for output quality before client delivery
- You are actively using AI tools in your daily work right now — building workflows, testing outputs, solving problems you have not been trained to solve yet
- You have real opinions about what works, what does not, and what pharma brands should actually pay attention to
- You experiment before you wait for permission. When a new tool drops, you open it
- You can show a skeptical brand team something real — not a slide about AI, but something you actually built or ran
- Brand standards fluency — reads guidelines and translates them into production requirements without ambiguity
- Production discipline — holds the quality standard and catches errors before they reach review
- Channel knowledge — understands what correct looks like across email, display, social, and video formats
- Platform curiosity — learns tools by using them; does not wait for formal training to figure out what something does
- Clear communicator — flags output problems specifically so the right person can resolve them quickly
Qualifications
Must Haves
- 2 to 5 years in a production, brand management, or creative operations role at an agency or in a regulated industry environment
- Track record managing brand standards across channels — you know what a brand violation looks like and can articulate why
- Hands-on familiarity with channel production requirements — email rendering, banner specs, safe zones, format constraints — across digital formats
- Pharma or regulated industry experience is a plus; MLR familiarity is helpful but not required
- Experience working in structured review and revision cycles with accountability for output quality before client delivery
- You are actively using AI tools in your daily work right now — building workflows, testing outputs, solving problems you have not been trained to solve yet
- You have real opinions about what works, what does not, and what pharma brands should actually pay attention to
- You experiment before you wait for permission. When a new tool drops, you open it
- You can show a skeptical brand team something real — not a slide about AI, but something you actually built or ran
Nice to Haves
- Brand standards fluency — reads guidelines and translates them into production requirements without ambiguity
- Production discipline — holds the quality standard and catches errors before they reach review
- Channel knowledge — understands what correct looks like across email, display, social, and video formats
- Platform curiosity — learns tools by using them; does not wait for formal training to figure out what something does
- Clear communicator — flags output problems specifically so the right person can resolve them quickly
Benefits