Director Remote Metadata Jobs (NOW HIRING)

The Director of Content Engineering leads the strategy, architecture, and delivery of enterprise-scale content platforms that power digital experiences across web, mobile, clinical, marketing, and knowledge channels. This role sits at the intersection of content, engineering, AI, and experience, ensuring content is modular, reusable, AI-ready, and delivered with high reliability and performance.

This leader is accountable for transforming content from static assets into structured, intelligent, API-driven systems that scale across products, channels, and use cases.

Key Responsibilities

Content Platform Strategy & Architecture

• Define and own the long-term vision for content platforms (CMS, headless CMS, DAM, knowledge systems).
• Drive adoption of headless, composable, API-first content architectures.
• Ensure content models support omnichannel delivery, personalization, localization, and accessibility.
• Establish standards for structured content, metadata, taxonomy, and semantic tagging.

 Engineering Leadership

• Lead and scale a team of content platform engineers, technical architects, and platform leads.
• Set engineering standards for reliability, performance, security, and scalability.
• Partner with Platform, Identity, Search, Personalization, and AI teams to enable end-to-end experiences.
• Oversee CI/CD pipelines, automation, and platform observability for content systems.

 AI & Intelligent Content Enablement

• Enable AI-ready content through structured schemas, metadata enrichment, and governance.
• Partner with AI/ML teams to support GenAI use cases such as:
  • Intelligent search and recommendations
  • Content summarization and generation
  • Knowledge retrieval and conversational experiences
• Ensure responsible AI usage with guardrails, provenance, and human-in-the-loop workflows.

Governance, Compliance & Accessibility

• Ensure content platforms meet regulatory, security, and privacy requirements.
• Drive accessibility (WCAG), localization, and content lifecycle governance.
• Define roles, workflows, and approval models across decentralized teams.
  

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Bachelor's degree in a related field (e.g., Computer Science, Design, Business, Cybersecurity, Health Informatics). Minimum of 10 years of progressive leadership experience in at least one of the following areas: digital health, product development, UX design, enterprise security, or systems operations.  Proven experience leading large cross-functional teams and managing enterprise-level initiatives.

Advanced degree (e.g., MS, MBA, MDes, MPH) in a relevant discipline preferred.

The preferred candidate will possess:

• Deep experience with headless CMS platforms (e.g., Contentful, Adobe AEM, Sitecore, Sanity, etc.).
• Strong understanding of content modeling, taxonomy, metadata, and semantic design.
• Expertise in API-driven architectures, microservices, and cloud-native platforms.

• Experience integrating content systems with:

  o    Search & personalization platforms
  o    Identity & consent systems
  o    Analytics and experimentation tools
  o    AI/LLM pipelines

• Familiarity with DAM, knowledge management, and content workflow automation.
• Experience leading ~20-30 engineers and platform specialists.
• Operating with a platform-as-a-product mindset, including roadmaps, OKRs, and internal SLAs.
• Experience championing reuse, composability, and enterprise leverage over bespoke solutions.
• Experience driving cross-org alignment between content, product, and engineering teams.
   

Bachelor's degree in a related field (e.g., Computer Science, Design, Business, Cybersecurity, Health Informatics). Minimum of 10 years of progressive leadership experience in at least one of the following areas: digital health, product development, UX design, enterprise security, or systems operations.  Proven experience leading large cross-functional teams and managing enterprise-level initiatives.

Advanced degree (e.g., MS, MBA, MDes, MPH) in a relevant discipline preferred.

The preferred candidate will possess:

• Deep experience with headless CMS platforms (e.g., Contentful, Adobe AEM, Sitecore, Sanity, etc.).
• Strong understanding of content modeling, taxonomy, metadata, and semantic design.
• Expertise in API-driven architectures, microservices, and cloud-native platforms.

• Experience integrating content systems with:

  o    Search & personalization platforms
  o    Identity & consent systems
  o    Analytics and experimentation tools
  o    AI/LLM pipelines

• Familiarity with DAM, knowledge management, and content workflow automation.
• Experience leading ~20-30 engineers and platform specialists.
• Operating with a platform-as-a-product mindset, including roadmaps, OKRs, and internal SLAs.
• Experience championing reuse, composability, and enterprise leverage over bespoke solutions.
• Experience driving cross-org alignment between content, product, and engineering teams.