Clinical Applications Platform Expert, Core Diagnostics Platform

About the role

The Core Diagnostics Platform Expert demonstrates deep technical and functional expertise across the Imaging Platform continuum from imaging acquisition methods to management and utilization of imaging data. The role requires a strong understanding of solution design and configuration using best practices to ensure proper application redundancy and delivery, as well as active awareness of industry solutions and product roadmaps. The expert evaluates build-vs-buy and integration tradeoffs where clinical and research intersect, with a strong grasp of interoperability across clinical applications and systems to support AI implementations both clinically and operationally.

The Applications Platform Expert is a senior individual-contributor role providing deep technical mastery, cross-team solutioning, operational solution impacts, and informal leadership within the Applications organization. This role ensures that the organization's most complex technical, architectural, and solutioning challenges are met with consistent, well-defined expertise across IT functions. The position maintains current, authoritative knowledge of the platform's capabilities, including new releases, features, and vendor roadmaps, and proactively identifies where these should be applied before challenges or requests arise.

Responsibilities

• Technical Solutioning & Tool Evaluation:
  • Operates at high-level solution shaping (options, tradeoffs, rough feasibility) before a project is chartered, and deep technical design once work is initiated.
  • Evaluates build-vs-buy and native-platform-vs-purpose-built tradeoffs based on technical merits rather than defaulting to existing platforms.
  • Maintains working fluency across adjacent IT domains (integration, infrastructure, security, data) to identify necessary collaborators.
  • Partners with other IT teams as a peer convener, running or co-running cross-team solutioning sessions.
  • Clearly distinguishes exploratory/advisory solutioning from committed design phases.
  • Ability to lead and deliver complex organizational-level projects as the subject matter expert.
• Mentoring & Informal Leadership:
  • Elevates other analysts' capabilities through coaching on approach and technique without owning or evaluating their performance.
  • Provides input on technical abilities of Analyst I-III roles to Application Managers.
  • Models high standards for build quality, documentation, and judgment.
  • Sought out voluntarily by analysts for guidance, reflecting earned credibility.
  • Pairs or shadows with less experienced analysts on complex problems to transfer judgment and knowledge.
  • Surfaces talent and growth signals to people managers as input.
• Direction-Giving on Projects:
  • Defines or co-defines the technical approach and build strategy for projects based on operational/clinical requirements.
  • Serves as a key build resource on complex projects.
  • Advises on proposed approaches from other analysts, particularly on complex or ambiguous tasks, and serves as a peer reviewer on build, configuration, and design.
  • May hold project-coordination responsibilities (sequencing tasks, tracking timeline, assigning work items, completing status reports) on smaller efforts without a dedicated project manager.
• Depth & Breadth of Expertise:
  • Maintains implementation-level, hands-on fluency in one to two defined domains of mastery.
  • Viewed as an informal escalation point for platform questions.
  • Maintains working fluency across adjacent systems and integration points connected to core depth areas.
• Documentation & Staying Current:
  • Documents build decisions and their rationale for institutional knowledge retention.
  • Keeps documentation current as systems evolve using approved knowledge repositories.
  • Writes documentation for future readers and proactively transfers knowledge.
  • Maintains awareness of industry trends, major vendors, and shifts in the vendor landscape within assigned domains.
  • Documents vendor roadmaps and emerging technology, distinguishing genuine capability from vendor hype.
• Roadmap Contribution:
  • Provides technical input to managers developing domain or team roadmaps based on vendor releases, features, and trends.
  • Surfaces developments that should factor into prioritization decisions (e.g., upcoming platform features impacting build-vs-buy).
  • Provides application upgrade maintenance schedule recommendations and cost forecasts from vendor roadmaps.
  • Proactively seeks opportunities for application rationalization as features evolve and overlap.
• AI and AI Tools:
  • Actively uses AI tools in own work (build, testing, documentation, troubleshooting) and models effective use for others.
  • Evaluates AI-powered tools and solutions as part of technical solutioning, including build-vs-buy and native-platform-vs-purpose-built tradeoffs.
  • Considers AI-specific risk dimensions (e.g., where human review is required, where errors are costly) in recommendations.
  • Feeds AI-specific technology awareness into roadmap contributions, flagging where emerging AI capability should influence prioritization.
  • Provides recommendations for data foundations required to safely execute AI model deployment and associated operational workflow gaps.
  • Helps define monitoring plans for AI-enabled applications, including what to monitor, thresholds, review points, escalation paths, and operational risks.
• Other Modeled Behaviors:
  • Demonstrates composure and clarity under ambiguity, transparency about tradeoffs, and openness to challenge.
  • Independently follows through on commitments and demonstrates calibrated confidence.
  • Escalates and discusses platform issues to leaders with recommended resolutions and prioritization based on severity.

Education Qualifications

• Bachelor's degree in a relevant field (Information Systems, Computer Science, Health Informatics, Health Management, or related) is preferred.
• Associate's degree in a clinical field (e.g., Rad Tech, Pharmacy Tech, HIM) with 3–5 years of direct clinical or frontline healthcare experience in addition to required IT experience will be accepted.

Experience Qualifications

• 8+ years of progressively responsible experience in healthcare applications/IT, including demonstrated hands-on build and configuration experience in one or more core systems (Epic, Workday, Sectra, or other related applications).
• Demonstrated track record of resolving complex, escalated problems that others have been unable to close, 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.

Required Knowledge, Skills and Abilities

• Implementation-level, current fluency in one to two defined technical domains, with working fluency across adjacent, connected systems.
• Demonstrated ability to evaluate and recommend technical solutions and design configurations (including build-vs-buy and platform-native-vs-purpose-built tradeoffs) based on solution merit.
• Strong coaching and communication skills with the judgment to influence without formal authority.
• Clear judgment regarding when a decision is theirs to make versus when it requires escalation to management or governance.
• Strong documentation discipline supporting knowledge transfer and incorporation into AI tools.
• Working knowledge of AI-enabled tools relevant to their domain, including the ability to evaluate them critically for real-world fit and monitoring methods.
• Ability to demonstrate continuing education to remain relevant within the associated domain and industry direction.

Preferred Knowledge, Skills and Abilities

• Prior experience acting as a technical authority or platform expert in a healthcare or complex IT environment.