Senior Content Architect for Health & Science Platforms

Digital Pulp; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Digital Pulp is seeking a senior content strategist to lead content architecture and strategy for a health and science website rebuild starting this fall. You will own the content model, taxonomy, and search visibility strategy to ensure a scalable, multi-audience site.

Youll define governance, standards, and workflows for the in-house team to operate post-launch, with a focus on AI discoverability and structured data beyond traditional SEO.

Qualifications

• 7+ years in content strategy, with lead ownership of content architecture on large web builds or migrations.
• Health, science, or medicine domain experience (pharma works).
• Real command of SEO and AEO, structuring content for AI discoverability, not keywords alone.
• Mastery of content strategy and content design in component-based CMS websites (Drupal a plus).
• Content governance experience in complex organizations.

Responsibilities

• Content modeling for a component-based CMS, structured so a single update surfaces everywhere it belongs.
• Taxonomy architecture that surfaces stories, profiles, and program content programmatically, and holds up across sub-brands.
• SEO and AEO strategy: structured data and schema, semantic architecture, redirect strategy that protects hard-won search equity, and content built to be surfaced by AI systems, not just Google.
• Content governance for a complex organization: models, standards, and workflows the in-house team can run after launch.

Skills

Content strategy

Content architecture

SEO / AEO

Drupal knowledge

Governance in complex orgs

Tools

Drupal CMS

Job description

Digital Pulp is seeking a senior content strategist to lead content architecture and strategy for a health and science website rebuild starting this fall. You will own the content model, taxonomy, and search visibility strategy to ensure a scalable, multi-audience site.

Youll define governance, standards, and workflows for the in-house team to operate post-launch, with a focus on AI discoverability and structured data beyond traditional SEO.