Senior Business Systems Analyst- People & Internal Systems

HealthEdge•Remote,

3d•$114,000 - $125,000•Remote

About The Position

HealthEdge is experiencing rapid growth and consolidation due to recent mergers. The Business Technology team is responsible for ensuring that the systems supporting our business operations not only function efficiently but also evolve in tandem with the teams that rely on them. We are seeking a Senior Business Systems Analyst to join our Business Technology Team. This role requires deep expertise in enterprise integrations, including APIs, middleware, and iPaaS, as well as hands-on administration of Claude Enterprise, covering workspace configuration, access and permissions, usage governance, and business-wide rollout. Initially, the focus will be on building and stabilizing integrations during the migration from legacy systems, while also establishing the framework and adoption model for Claude across various teams. This position offers growth potential, with opportunities for increased platform ownership, expanded systems scope, and broader stakeholder relationships over time. This role is ideal for a technically proficient integrations specialist who excels at maintaining complex system ecosystems, is interested in enterprise-level AI adoption, and desires a role with significant ownership from the outset.

Requirements

5+ years in business systems, integrations, or IT platform roles with direct, hands-on experience building and supporting enterprise integrations (APIs, EIB-style tooling, Core Connectors, or similar).
Experience administering an enterprise SaaS or AI platform (e.g., Claude Enterprise, Microsoft 365, Google Workspace, ChatGPT Enterprise), including access management, security configuration, and governance.
Strong working knowledge of integration patterns such as APIs, SFTP, middleware, and SSO, and how data moves between enterprise systems.
Proven ability to troubleshoot production issues in integration environments.
Hands-on experience with automation tools like business process logic, calculated fields, or iPaaS platforms (e.g., MuleSoft, Workato, Boomi).
Track record of reducing manual work through automation.
Genuine enthusiasm for AI platforms and their business adoption, understanding both technical configuration and change management aspects of rollouts.
Experience partnering with business stakeholders to translate requirements into system configurations, demonstrating understanding of both technical and functional aspects of platforms.
Strong data fluency, including validating, interpreting, and clearly explaining data, and understanding the impact of system configuration decisions on downstream processes.
Comfort with ambiguity and a willingness to help build the team's operational playbook.
Clear communication skills, capable of translating technical complexity for business and non-technical audiences without losing substance.
Familiarity with data privacy and security frameworks (e.g., HIPAA, HITRUST) as they apply to enterprise data, AI platform usage, and cross-system data flows.
An AI-first mindset, proactively using AI tools in daily work and demonstrating curiosity about future AI developments.

Nice To Haves

May require travel dependent on company needs.

Responsibilities

Own the integration layer, including monitoring health, resolving failures, and improving reliability of active integrations across payroll, benefits, identity management, finance, and more.
Administer the Claude Enterprise environment, including workspace and user provisioning, roles and permissions, usage, security configuration, and integration with SSO/identity systems.
Partner with business teams to drive AI platform adoption by building onboarding paths, usage guidelines, and internal enablement programs.
Configure and improve enterprise systems by collaborating with business stakeholders, providing input on business processes, condition rules, and security to meet evolving needs.
Automate repetitive tasks through business process automation, calculated fields, iPaaS tooling, and Claude-powered workflows.
Measure the impact of solutions by connecting built components to outcomes such as integration uptime, data quality, Claude adoption and usage, and process cycle time, and communicate impact in business terms.
Act as a trusted partner by understanding team workflows, identifying friction points, translating findings into requirements, and building cases for necessary changes.
Design long-term solutions that consider upstream and downstream impacts, anticipate future issues, and prioritize scalability.
Apply an AI-first approach to work, using AI tools like Claude to enhance personal output (analysis, documentation, testing, solution design) and identify opportunities to integrate AI into business operations.
Build institutional knowledge by maintaining thorough documentation of system configuration, integration architecture, data flows, and Claude governance.
Expand into broader systems, integrations, and AI platform ownership as the company scales and the Business Technology team matures.