Clinical Applications Platform Expert, Population Health

About the role

This Platform Expert position will apply deep functional and systems expertise in value-based care to design, deploy, and support solutions that increase quality, reduce medical expense, and improve the managed-member experience. The role will have detailed understanding of Epic payer and population health modules including, but not limited to, Tapestry, Healthy Planet, Compass Rose, and VBPM. In addition to Epic systems mastery, the Platform Expert will design, deploy, and support non-Epic systems including but not limited to Stanson, Cotiviti, and other third-party systems.

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 role 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.

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

• 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 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. 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. Advises on proposed approaches from other analysts and serves as peer reviewer on build, configuration, and design. May hold project-coordination responsibilities (sequencing tasks, tracking timeline, assigning work items, completing status reports) as a distinct, named responsibility layered on top of the technical platform expert role.
• Depth & Breadth of Expertise: Maintains implementation-level, hands-on fluency in one to two defined domains of true mastery. Maintains working fluency across adjacent systems and integration points connected to their core depth area.
• Documentation & Staying Current: 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. Documents vendor roadmaps and emerging technology in their 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 forecast from vendor roadmap.
• AI and AI Tools: Uses AI tools actively in their own work 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 as part of any recommendation. Feeds AI-specific technology awareness into the roadmap contribution function and helps define 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.
• 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, Skills and Abilities

• 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.