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Stanford Health Care

Coordinated cancer, neuroscience, cardiovascular care

Clinical Applications Platform Expert - Revenue Cycle

Enterprise ApplicationsUpdated on Nov 14
Full-timePalo Alto, CA, USA$74.73 - $99.04 /hrIn-person

About the Job

Requirements

  • Eight or more years of progressively responsible experience in healthcare applications or information technology, including hands-on build and configuration experience in one or more core systems such as Epic, Workday, Sectra, or another related application.
  • A demonstrated track record of resolving complex, escalated problems with measurable delivery outcomes.
  • Experience partnering across multiple IT teams or portfolio verticals on solution design without formal authority over those teams.
  • Experience mentoring or informally coaching less experienced staff without formal people-management responsibility.
  • Implementation-level, current fluency in one to two defined technical domains, with working fluency across adjacent, connected systems.
  • Ability to evaluate and recommend technical solutions and design configuration based on solution merit, including build-versus-buy and platform-native-versus-purpose-built tradeoffs.
  • Coaching and communication skills, with judgment to influence without formal authority.
  • Judgment to identify when a decision is within the role's authority and when it requires escalation to management or governance.
  • Strong documentation discipline and habits that support knowledge transfer and incorporation into AI tools.
  • Working knowledge of AI-enabled tools relevant to the domain, including the ability to evaluate their real-world fit and monitoring methods.
  • Ability to demonstrate continuing education to remain relevant within the associated domain and industry direction.

Responsibilities

  • Shape high-level solutions by evaluating options, tradeoffs, and rough feasibility before project chartering, then perform deep technical design once work is initiated, keeping solutions fit for purpose and aligned with existing platforms and future roadmaps.
  • Evaluate build-versus-buy and native-platform-versus-purpose-built tradeoffs on their technical merits rather than defaulting to existing platform features.
  • Maintain working fluency across integration, infrastructure, security, and data domains to identify which teams need to participate in solutions, without owning those domains.
  • Run or co-run cross-team solutioning sessions as a peer convener.
  • Distinguish exploratory and advisory solutioning from committed design so early options are not mistaken for locked decisions.
  • Lead and deliver complex organizational-level projects as a subject matter expert, including development of delivery methods.
  • Coach other analysts on approach and technique, provide the Application Manager with input on technical abilities and improvement areas for Analyst I–III roles, model quality standards, pair or shadow with less experienced analysts, and surface talent and growth signals to people managers as input rather than making talent decisions.
  • Define or co-define technical approaches and build strategies for projects based on operational or clinical requirements, and serve as a key build resource on complex projects.
  • Advise on other analysts' proposed approaches, particularly for complex or ambiguous tasks, and peer-review build, configuration, and design.
  • On smaller efforts without a dedicated project manager, coordinate project tasks, timelines, work assignments, and status reporting when explicitly assigned that responsibility.
  • Maintain current implementation-level fluency in one to two domains and working fluency across adjacent systems and integration points.
  • Document build decisions and rationale in ServiceNow knowledge base or other approved versioned knowledge repositories, keeping documentation current and writing for future readers.
  • Maintain awareness of industry trends, major vendors, and vendor-landscape changes; document vendor roadmaps and emerging technology and provide informed recommendations distinguishing actual capabilities from vendor hype.
  • Provide technical input to managers developing domain or team roadmaps, including vendor release schedules, upcoming features, emerging trends, application upgrade maintenance schedules, and cost forecasts.
  • Identify opportunities for application rationalization as domain application features evolve or overlap and bring them to the appropriate managers; roadmap input remains advisory, with managers retaining ownership of decisions, sequencing, and resourcing.
  • Use AI tools in build, testing, documentation, and troubleshooting, and model effective, appropriately verified use.
  • Evaluate AI-powered tools and solutions for technical solutioning, including build-versus-buy and platform-native-versus-purpose-built tradeoffs, and assess their capability and fit against workflows and data.
  • Consider AI-specific risks, including where human review remains necessary and where errors are costly.
  • Feed AI technology awareness into roadmap contributions and flag emerging capabilities that should affect prioritization.
  • Recommend the data foundation needed for safe AI model deployment and identify operational workflow gaps that could cause deployment errors.
  • Help define monitoring plans for AI-enabled applications, including monitored elements, acceptable thresholds, review points, escalation paths, and operational gaps or risks requiring management attention; guide monitoring design without owning routine monitoring unless assigned.
  • Escalate and discuss platform issues with leaders, recommending resolutions and prioritization based on severity.

Desired Qualifications

  • Prior experience acting as a technical lead or informal project coordinator on smaller initiatives without a dedicated project manager.
  • Experience contributing technical input to departmental or team roadmap planning.
  • Familiarity with evaluating AI or automation solutions in a healthcare or enterprise IT context.

About the Company

Stanford Health Care

Coordinated cancer, neuroscience, cardiovascular care

Stanford Health Care operates a network of hospitals and care facilities in the Bay Area, delivering a wide range of medical services including cancer care, neurosciences, cardiovascular medicine, surgery, organ transplant, medical specialties, and primary care. Its care model combines expert clinical teams with researchers, translating medical discoveries into real patient treatments and improving how care is delivered. Unlike some providers, Stanford Health Care emphasizes a close link with Stanford University to foster multidisciplinary collaboration and apply the latest scientific knowledge to patient care. The organization aims to help people heal through science and compassion, advancing health outcomes by integrating research, innovation, and high-quality clinical practice for patients one at a time.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Palo Alto, CA
Founded
2012

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