Clinical Applications Platform Expert, Cancer

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. This position is expected to maintain current, authoritative knowledge of the platform's capabilities (new releases, features, vendor roadmap) and proactively identifies where these should be applied before a challenge or request exists. The Platform Expert operates as a trusted technical authority, a mentor, and a contributor to team and departmental roadmaps, while explicitly deferring people-management, task assignment, and performance-evaluation authority to formal management and project leadership.

Responsibilities

• Operates at two deliberate altitudes: 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 on their technical merits, rather than defaulting to whichever platform already has a feature.
• Maintains working fluency across adjacent IT domains (integration, infrastructure, security, data) sufficient to identify who else needs to be involved in a solution, without owning those domains.
• Partners with other IT teams as a peer convener — able to run or co-run cross-team solutioning sessions, not simply attend them.
• Clearly distinguishes the exploratory/advisory solutioning phase from the committed design phase, so early options-generation is not mistaken for a locked decision.
• Ability to lead and deliver complex organizational level projects serving as the subject matter expert and delivery method decision development.
• 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.
• Defines or co-defines the technical approach and build strategy for projects on which they serve as technical expert based on the operational/clinical requirements of the objective.
• Advises on proposed approaches from other analysts, particularly on complex or ambiguous tasks, and serves as peer reviewer on build, configuration, and design.
• Maintains implementation-level, hands-on fluency (current, not historical) in one to two defined domains of true mastery.
• Documents build decisions and their rationale so institutional reasoning survives staff turnover, and keeps documentation current as systems evolve.
• Maintains awareness of industry trends, major vendors, and shifts in the vendor landscape within their assigned domain, using that knowledge to inform documentation, solution recommendations, and roadmap input.
• Provides technical input to managers developing domain or team roadmaps, grounded in vendor release schedules, upcoming features, and emerging trends.
• 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, assessing real capability and fit against actual workflow and data.
• Provides recommendation for data foundation required to safely execute AI model deployment and associated operational workflow gaps that may drive errors in AI deployment.
• Actively helps define monitoring plans for AI-enabled applications, including what should be monitored, acceptable thresholds, review points, escalation paths, and operational gaps or risks that need management attention.
• Demonstrates composure and clarity under ambiguity, transparency about tradeoffs, and openness to challenge on their own technical judgment.
• Independently follows through reliably on commitments to advise or investigate, and demonstrates calibrated confidence — comfortable acknowledging the limits of their own expertise.
• Escalates and discusses platform issues to leaders with recommended resolution and prioritization based on severity.

Requirements

• 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.
• 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.

Skills

• 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 Skills

• 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/automation solutions in a healthcare or enterprise IT context.