Arcadia

Customer Success Manager

• Serving as the primary day-to-day point of contact for customers live on the Arcadia platform
• Connecting the dots between platform functionality, data dependencies/data model, and customer use cases to support capability adoption plans
• Be a resource with shared accountability for achieving and maintaining high Net Promoter Scores for assigned customers
• Driving adoption and scaling the use of Arcadia capabilities at your customers to pave a path for Arcadia capability growth
• Investigating escalated and highly complex issues to develop remediation plans with internal teams. Driving complex issue resolution through collaboration with cross-functional Arcadia teams
• Managing the implementation of product upgrades, significant platform changes, annual quality measure updates, and data integration quality control processes.
• Developing strong customers relationships and effectively communicating issue root cause/remediation and product functionality
• Learning customers’ business goals to facilitate internal decisions, e.g. strategize platform upgrades, prioritization of updates, understand issue impact, internal escalation and managing platform adoption.
• Conducting customer trainings and demos across the Arcadia product suite to facilitate adoption
• Acting as the translator between internal and external teams regarding complex technical concepts and business needs
• Educating customers on Arcadia processes including data integration, data processing, upgrades, issue resolution
• Gaining an in depth understanding of value-based care and how Arcadia tools support customers to achieve success across multiple population health programs
• Mastering the Arcadia Product Suite and understanding Arcadia’s data flow processes to be first line of support for customers
• Leveraging tools such as Jira, Confluence, Smartsheet, and SQL

Data Analyst

• Collaborate with healthcare clients to understand their data challenges and translate complex insights into clear, actionable solutions
• Develop subject matter expertise across Arcadia’s products and data model to influence new analytics capabilities and product improvements
• Contribute to Arcadia’s growing body of intellectual property and best practices for data-driven healthcare transformation

Senior Data Analyst

Security Engineer

• Design, implement, and maintain application security controls across Arcadia’s cloud-native SaaS platform
• Partner with Product and Engineering teams to embed security into system design, development workflows, and CI/CD pipelines
• Conduct threat modeling, architecture reviews, and secure design assessments for new and existing services
• Own and improve vulnerability management processes, including identification, prioritization, and remediation tracking
• Implement and maintain security tooling such as SAST, DAST, dependency scanning, container scanning, and secrets detection
• Participate in security incident response activities including detection, investigation, containment, and remediation
• Monitor and analyze logs, alerts, and security events to identify suspicious activity and emerging threats
• Contribute to detection engineering by tuning alerts, improving signal quality, and reducing noise
• Support threat intelligence analysis and apply insights to improve preventive and detective controls
• Perform post-incident analysis and recommend technical and process improvements
• Build security-as-code solutions to automate control enforcement, validation, and remediation
• Use scripting and automation to reduce manual effort and improve consistency
• Support secure AWS architecture using services such as EKS, ECS, Lambda, IAM, and VPC
• Contribute to identity and access management best practices across AWS, Okta/Auth0, and SaaS platforms
• Translate compliance requirements (e.g., SOC 2, ISO 27001, HITRUST, HIPAA) into practical technical controls
• Partner with Security Assurance to support audits, evidence collection, and continuous control monitoring
• Help identify and remediate security risks discovered through assessments, audits, or incidents

Senior Engineer, Security – AppSec

General Counsel

• Customer contracting ownership: Draft, review, and negotiate subscription/MSA agreements, BAAs as applicable, data use agreements, SOWs/work orders, amendments, and related documents
• Strategic and channel/partner support: Negotiate partnership/channel agreements in coordination with the General Counsel
• Complex vendor contracting: Lead negotiations for higher-risk vendor agreements, especially involving data, privacy/security, technology, or regulated workflows
• Template/process improvement: Maintain and improve contract templates, clause libraries, playbooks, and internal guidance; partner with stakeholders to drive adoption
• Cross-functional counseling: Support GTM and product readiness efforts by spotting issues early and collaborating on workable solutions
• Risk monitoring: Track legal/regulatory developments relevant to Arcadia and escalate emerging issues appropriately

Corporate Counsel

DevOps Engineer

• Act as the technical leader for reliability for one or more domains; set direction and standards while remaining hands-on where it matters most
• Drive reliability strategy across critical services: define SLOs/SLIs, error budgets, and reliability KPIs aligned to customer journeys and outcomes
• Own incident response maturity: lead complex incidents, improve incident command practices, and ensure high-quality RCAs with prioritized, tracked remediation
• Architect and implement automation to reduce toil and risk: runbook automation, self-service tools, and safe operational workflows (Python + Argo Workflows)
• Advance GitOps delivery practices using Argo CD: promotion strategies, progressive delivery/canaries, and guardrails that reduce deploy risk
• Scale infrastructure management with Crossplane and Terraform: reusable patterns, policy controls, and paved roads for teams
• Lead operational readiness and reliability reviews for new features/architectural changes; reinforce non-functional requirements (availability, latency, security, cost)
• Improve performance and cost efficiency through capacity planning, load testing, right-sizing, and architecture recommendations across AWS services
• Champion infrastructure security best practices for environments that handle PHI (least privilege, secrets management, auditability, and defense-in-depth)
• Mentor Staff and Senior engineers through design reviews, code reviews, pairing, and documentation; raise reliability standards across teams

Principal Site Reliability Engineer

Manager

• Own end-to-end financial modeling for CMS LEAD and other APMs
• Translate CMS technical specifications into production-grade actuarial models
• Develop and maintain benchmark, attribution, risk adjustment, and reconciliation logic
• Ensure integrity of actuarial inputs (e.g., underwriting methodology, pricing assumptions) in value-based contract modeling
• Identify model vulnerabilities and proactively mitigate financial exposure
• Work directly with CMS VRDC data environments to extract, structure, and analyze Medicare claims and enrollment data
• Write production-level SAS and Python code to:
• Process large claims datasets
• Facilitate risk-adjustments
• Calculate, risk adjust, and project PMPM benchmarks
• Run sensitivity testing
• Conduct reconciliation and true-up calculations
• Ensure compliance with CMS methodological guidance
• Validate data integrity prior to model production
• Establish independent validation standards and ensure consistent adherence to these standards across the enterprise
• Create automated testing scripts and exception reporting to implement validation checks, parallel runs, and reconciliation frameworks
• Maintain version control, documentation, and auditability of all models at a sufficiently robust level to enable audits or CMS review

Senior Manager, APM Modeling & Analytics

Product Manager

• Own product strategy and roadmap for defined areas of Arcadia’s platform
• Translate business strategy and customer insights into clear product vision, requirements, and measurable outcomes
• Lead discovery efforts including customer interviews, workflow analysis, and data-driven investigation
• Develop business cases that quantify impact, trade-offs, and ROI
• Partner closely with engineering and UX to define MVP scope and drive iterative delivery
• Actively manage and prioritize backlogs based on impact, urgency, and strategic alignment
• Participate in sprint planning, backlog grooming, and release coordination
• Communicate roadmap progress, risks, and results clearly to stakeholders
• Collaborate with Sales and Customer Success to ensure successful launches and customer adoption
• Track and report on product performance metrics and continuously refine based on feedback and data
• Advocate for both platform scalability and thoughtful technical debt management

Senior Product Manager

Analyst

• Define and lead analytic strategy across large-scale, high-visibility customer engagements
• Architect advanced analytic frameworks supporting medical economics, performance measurement, population health, and value-based care initiatives
• Serve as the senior-most analytic escalation point for complex methodological or data integrity questions
• Translate contractual requirements and strategic objectives into measurable analytic roadmaps
• Drive cross-functional alignment across Product, Engineering, Actuarial, Data Science, Finance, and Customer Success
• Ensure technical excellence and rigor in all analytic deliverables; establish quality standards and governance practices
• Identify scalable opportunities for automation, reusable intellectual property, and analytic innovation
• Present insights and strategic recommendations to senior and executive-level stakeholders
• Mentor and develop Lead, Senior, and Data Analysts, elevating analytic capability across the team
• Influence product and roadmap decisions through data-driven thought leadership

Principal Analyst, Customer Insights

• Learning population health and developing transferable skills in both analyzing and presenting data
• Creating value for Arcadia’s customers, particularly a large payer client, through dashboard building and deep-dive analysis
• Preparing, analyzing, and visualizing tens of millions of records of healthcare data
• Supporting our customers’ success in value-based care as well as internal Arcadia teams
• Balancing and delivering on multiple B.I. reporting projects, primarily through our analytic dashboard product, Arcadia Vista
• Collaborating with talented colleagues both within the Analytics team and with other Arcadia teams like Product, Customer Insights, Growth Team, and Implementation

Data Engineer

• As a Lead Data Engineer, you will drive the successful development of solution architecture and the completion of data pipeline connectors that automate the flow of data between client data platforms and our analytic health solution platform.
• Improving the process of how we design and document data pipelines
• Identifying high leverage improvement projects and driving them to completion
• Support of our processes in partaking in peer code reviews, sprint planning, product grooming, maintaining Jira tasks and peer test reviews
• You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support and enhancements for existing customers