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oracle

Manager, Web Platforms and Digital Experience

University of California, San Francisco
San Francisco, USA
Full-time
Manager · 7+ years experience
Onsite
Discovered 3 weeks ago
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Full Job Posting

Qualifications

  • REQUIRED QUALIFICATIONS
  • Bachelor’s degree in computer science or a related field,
  • Minimum 7 years of progressively responsible experience in web application development, web platform engineering, software engineering or enterprise web architecture, including hands-on technical responsibility for production web systems.
  • Minimum 3 years of experience managing or directly supervising software engineers, web developers, or other technical staff, including responsibility for technical direction, performance management, and staff development
  • Minimum 2 years of demonstrated professional experience applying AI to web strategy and web development, including evaluation, prototyping, integration, or production implementation of generative AI/LLMs, AI APIs/services, AI-assisted development, intelligent search, content automation, personalization, analytics, accessibility, or related AI-enabled web capabilities.
  • Demonstrated experience defining an AI-enabled web strategy or technical roadmap and translating AI use cases into secure, scalable, production web solutions.
  • Demonstrated hands-on technical experience with modern web application architecture and development, including front-end and back-end technologies, REST/GraphQL APIs or equivalent integration patterns, authentication/authorization, databases, and enterprise system integrations.
  • Demonstrated experience architecting, developing, or operating enterprise CMS and web platforms in cloud or managed hosting environments, including performance, scalability, caching/CDN, security, monitoring, and reliability considerations.
  • Demonstrated experience with software engineering and DevSecOps practices including Git-based source control, code review, automated testing, CI/CD pipelines, release management, infrastructure/cloud deployment practices, observability, and production incident troubleshooting.
  • Demonstrated ability to evaluate AI models, platforms, APIs, and development tools for technical fit, security, privacy, data governance, accessibility, reliability, quality, and responsible use in enterprise web environments.
  • Demonstrated knowledge of web security, privacy, accessibility (WCAG), performance optimization, responsive design, usability, and secure software development practices.
  • Demonstrated experience leading complex web platform modernization, application development, CMS migration, integration, or cloud transformation initiatives from architecture through production operations.
  • Strong technical leadership and communication skills, including the ability to review architecture and engineering designs, mentor developers, communicate technical tradeoffs, and collaborate with security, infrastructure, data, product, communications, and non-technical stakeholders.
  • PREFERRED QUALIFICATIONS
  • Master’s degree in computer science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a closely related technical field or an equivalent combination of education and relevant experience and training.
  • AI Certifications
  • Experience with retrieval-augmented generation (RAG), vector search/databases, semantic search, prompt engineering, AI evaluation/observability, model gateways, or agentic workflows in web applications.
  • Experience with major cloud AI platforms and services (for example Azure AI, AWS AI/Bedrock, Google Cloud Vertex AI, or comparable enterprise AI services).
  • Experience managing enterprise or large-scale institutional web platforms in higher education, healthcare, research, or another regulated environment.
  • Experience managing technology vendors, contracts, cloud consumption, licensing, and service agreements for web or AI platforms.
  • Familiarity with IT service management frameworks (e.g., ITIL) and enterprise architecture or technology governance practices.

Responsibilities

  • of time
  • Essential Function (Yes/No )
  • Key Responsibilities
  • (To be completed by Supervisor)
  • 25
  • 20
  • 15
  • Engineering Delivery and Platform Modernization: Lead technical delivery of web applications, new site launches, redesigns, CMS upgrades/migrations, platform modernization, and cloud or hosting improvements. Translate product and business requirements into technical roadmaps, architecture, engineering plans, estimates, delivery milestones, and operational support models. Identify and remove technical debt and improve scalability, maintainability, developer experience, and release velocity.
  • 10
  • 7
  • 8
  • 3
  • 2
  • Policy, Standards and Campus Engagement: Participate in campus committees and working groups related to web architecture, AI governance, accessibility, security, digital experience, and technology standards; recommend improvements to policies, technical standards, and procedures.
  • 100%

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