Mayo Clinic is a renowned healthcare organization, and they are seeking a Director of Content Engineering to lead the strategy, architecture, and delivery of enterprise-scale content platforms. This role focuses on transforming content into structured, intelligent, API-driven systems while ensuring high reliability and performance across various digital channels.
Responsibilities:
- 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
- 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
- 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
- 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
Requirements:
- 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
- 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: Search & personalization platforms, Identity & consent systems, Analytics and experimentation tools, 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