About this opportunity
University of Miami Health System lists this Manager, Marketing Information Architecture & User Experience opportunity in miami, Florida. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Department of Marketing Technology & Analytics is currently seeking a full-time Manager, Marketing Information Architecture & User Experience.
SUMMARY
Owns how patients, students, fans, and donors find what they need across UHealth's digital properties, and owns the evidence that proves it works. Runs the enterprise user research program end to end, from platform and panel management through study design and synthesis, and translates findings into information architecture: taxonomy, navigation, content models, page types, and URL governance.
Increasingly the audience is also a machine. This role structures content so AI answer engines and AI-assisted navigation can parse and surface UHealth's providers, services, and locations accurately, and treats answer engine visibility as an architecture problem rather than a marketing tactic. Reports to the AVP of Marketing Technology and Analytics on an interim basis, and directs both internal specialists and implementation partner resources.
RESEARCH & EVIDENCE
Own the enterprise UX research program end to end: study design, participant recruitment, panel management, incentives, synthesis, and a searchable research repository the department can draw on
Own the research platform relationship: license utilization, contract terms, recruitment and incentive costs, and the build/buy decision on adjacent tooling; evaluate research vendors on demonstrated capability rather than on sales narrative
Run generative and evaluative studies: card sorting, tree testing, first-click testing, moderated and unmoderated usability, prototype testing, and live A/B and multivariate testing on in-market pages
Set the evidence standard for contested design decisions. When physicians, deans, or division heads hold strong views on site structure, resolve them with usability data and defensible findings rather than preference
Define and report experience KPIs: task success, findability, time to appointment, navigation abandonment, and search exit rate
INFORMATION ARCHITECTURE
Define and govern IA frameworks across all digital properties: taxonomies, navigation systems, content hierarchies, URL structures, and labeling conventions
Lead content modeling and page type architecture in Sitecore XM Cloud: component hierarchy, template definitions, field naming, and governance documentation serving UHealth, the Academy, Athletics, and Development
Own the migration IA workstream: legacy content inventory, content mapping, URL and redirect strategy, and phased migration sequencing
Own the taxonomy beneath the provider record: specialty, sub-specialty, condition, procedure, and location vocabularies that resolve to a single authoritative provider profile
Maintain governance artifacts: naming conventions, decision logs, sitemaps, redirect logs, and navigation models
AI & DISCOVERY
Structure content for machine consumption: schema.org markup, structured data, and content models that let AI answer engines resolve a provider, condition, or location correctly
Own answer engine optimization at the architecture layer, in partnership with the AEO Lab and SEO, so IA decisions improve visibility in AI-generated answers and not only in classic search results
Define and evaluate AI-assisted navigation and enterprise site search behavior, including how AI search surfaces and ranks clinical content, and run structured bake-offs between internal and agency concepts
Apply AI tooling to the IA work itself: content inventory classification, taxonomy gap analysis, redirect mapping, and research synthesis, with human validation of every output
Establish guardrails for AI-surfaced clinical content: accuracy, currency, and the compliance boundary on what may be represented to patients
PARTNER, STAKEHOLDER & TEAM LEADERSHIP
Direct implementation partner and agency resources on IA, research, and content workstreams: set deliverables, scope boundaries, and acceptance criteria, and prevent duplicate assignment across internal and partner staff
Own executive design review and change management: sequence validation from working review to steering committee to division heads, and secure sign-off before build rather than after it
Manage IA specialists and contractors: assign work, review deliverables, and hold quality against migration-critical timelines
Operate as product owner for the experience layer: maintain a prioritized backlog and make trade-off decisions with documented rationale
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
REQUIRED QUALIFICATIONS
5+ years in UX research, information architecture, or content strategy, with demonstrated ownership of both research and architecture rather than one in service of the other
Experience owning IA on a large-scale website migration or enterprise CMS implementation: content modeling, taxonomy design, and redirect governance
Demonstrated ability to run a research program independently, from study design through synthesis, including participant recruitment and panel logistics
Proven record of resolving contested design decisions with evidence in an environment of competing stakeholder authority
Experience directing external agency or implementation partner resources: scope control, deliverable definition, and quality accountability
Working knowledge of how taxonomy, URL structure, metadata, and structured data affect both traditional search and AI answer engine visibility
A hands-on practitioner, not a manager of people who use the tools. Works daily in research and user testing platforms, A/B and multivariate testing, wireframing and prototyping, taxonomy and journey mapping, analytics, and crawl and audit tools
An early adopter of AI with a working practice to show. Uses AI routinely for research synthesis, content classification, taxonomy analysis, and prototyping, and can speak candidly to where it fails
PREFERRED QUALIFICATIONS
Experience with AI search or answer engine visibility: schema strategy, structured data, or platforms such as Coveo or Google Vetex
Proficiency with research and IA platforms such as UserTesting, dScout, Optimal Workshop, or Treejack, including the ability to evaluate them commercially
IAAP accessibility certification (CPACC or WAS), or demonstrable WCAG 2.1 AA fluency
Academic medical center or health system background, with provider data or clinical taxonomy exposure
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Worksite address
miami, FL, 33222, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.