Clinical Applications Platform Expert, Sectra Radiology and Imaging Informatics Education

About the role

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 has expertise across a broad healthcare delivery domain, with deeper experience in 1–2 functional technical application areas. It exists to ensure that the organization’s most complex technical, architectural, and solutioning challenges are met with consistent, well-defined expertise that can work across IT functions to examine all available tools and solutions and to bring the right combination to the design.

Responsibilities

• Technical Solutioning & Tool Evaluation: Operates at two deliberate altitudes—high-level solution shaping before a project is chartered and deep technical design once work is initiated. Evaluates build-vs-buy and native-platform-vs-purpose-built tradeoffs on their technical merits. Maintains working fluency across adjacent IT domains (integration, infrastructure, security, data) sufficient to identify who else needs to be involved in a solution. Partners with other IT teams as a peer convener and clearly distinguishes the exploratory/advisory solutioning phase from the committed design phase.
• Mentoring & Informal Leadership: Elevates other analysts’ capability through coaching on approach and technique without owning or evaluating their performance. Models the standard for quality of build, documentation, and judgment. Is sought out voluntarily by analysts for guidance and 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 on which they serve as technical expert based on operational/clinical requirements. Advises on proposed approaches from other analysts, particularly on complex or ambiguous tasks, and serves as peer reviewer on build, configuration, and design. On smaller efforts without a dedicated project manager, may explicitly hold project-coordination responsibilities (sequencing tasks, tracking timeline, assigning work items, completing status reports).
• Depth & Breadth of Expertise: Maintains implementation-level, hands-on fluency in one to two defined domains of true mastery and working fluency across adjacent systems and integration points connected to their core depth area. Domain depth and adjacent breadth are defined by the role and validated through hiring and periodic leveling review.
• Documentation & Staying Current: Documents build decisions and their rationale so institutional reasoning survives staff turnover, and keeps documentation current as systems evolve. Writes documentation for future readers who were not present for the original decision and proactively transfers knowledge. Maintains awareness of industry trends, major vendors, and shifts in the vendor landscape within their assigned domain.
• Roadmap Contribution: Provides technical input to managers developing domain or team roadmaps, grounded in vendor release schedules, upcoming features, and emerging trends. Surfaces developments that should factor into prioritization decisions and provides application upgrade maintenance schedule recommendations and cost forecasts. Proactively seeks opportunities for application rationalization and brings these opportunities to appropriate managers.
• AI and AI Tools: Uses AI tools actively in their own work (build, testing, documentation, troubleshooting) and models effective, appropriately-verified 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 and feeds AI-specific technology awareness into the roadmap contribution function. Provides recommendations for data foundation required to safely execute AI model deployment and defines monitoring plans for AI-enabled applications.

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 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 application).
• 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 configuration (including build-vs-buy and platform-native-vs-purpose-built tradeoffs) based on solution merit rather than default.
• 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 and habits that support 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 associated domain and industry direction.

Preferred Knowledge and Skills

• ARRT Certification, CIIP Certified, Sectra Certified.
• Deep technical and functional expertise across the Imaging Platform continuum from imaging acquisition methods to management and utilization of imaging data.
• Strong grasp of interoperability across clinical application systems, ensuring clinical and image object data move reliably between Epic and the imaging platform adhering to standard dataflow and data models deployed to better support AI implementations both clinically and operationally.
• Cross-functional understanding spanning clinical imaging, research/trial operations, and the industry direction for new technologies that can be utilized within Stanford to support clinical and operational strategy.
• Ability to manage the skills training of the portfolio to standardize and accelerate learning for imaging systems and solutions across the portfolio using best practices and aligning industry direction to skills evaluations.
• Drive mentoring activities to Analysts 1–3.