Jobs at Zelis

Manages indirect tax projects and programs, leading complex multi-jurisdiction tax filings, regulatory compliance, audit readiness, controls, policies, and process improvements. Develops analyses covering ROI, cash flow, and risk mitigation; translates regulatory changes into procedures and training; partners cross-functionally to resolve tax issues; and implements automation to improve efficiency and reduce risk. The role requires strong U.S. federal and state tax expertise, advanced Excel and data modeling skills, strategic leadership, and stakeholder influence.

Lead a global QA team to drive test automation, shift-left practices, and release readiness for .NET-based products. Own automation frameworks, integration/E2E and performance testing, ETL and AWS migration quality, PHI test data strategies, KPIs and executive reporting, hiring and coaching, and modernizing legacy QA into AI-enabled, high-performing teams.

Manages a book of enterprise healthcare payer clients as their primary Zelis contact. Responsibilities include client relationship management, revenue forecasting, renewals, retention, risk mitigation, product optimization, upselling, business reviews, account planning, and client advocacy. Partners with Sales, Operations, Product, Services, and Marketing to deliver client value, resolve issues, and achieve growth targets. The remote role requires 30–40% domestic travel.

Manage strategic relationships with large payer and TPA clients, serving as the primary contact for an assigned book of business. Drive revenue, product utilization, renewals, retention, contract negotiations, client growth, and risk mitigation. Lead business reviews and account planning, demonstrate client value, identify expansion opportunities, and coordinate cross-functional teams to resolve issues and strengthen client satisfaction and advocacy.

Develop and maintain claims editing content using medical coding sources (ICD-10, CPT, CMS, AAPC/AHIMA). Perform regulatory research, analyze data impact, support client inquiries, partner with Product and Ops, ensure QA and privacy adherence, and recommend content enhancements and automation opportunities.

Designs, builds, and operates scalable AWS cloud platforms focused on EKS and containerization. Develops infrastructure as code with AWS CDK, CI/CD pipelines with GitHub Actions, and automation using YAML and PowerShell. Supports AWS, Azure, Windows, and .NET workloads; implements cloud security, DevSecOps, scanning, observability, and compliance practices. Collaborates across engineering, security, and architecture teams while leading responsible AI adoption using AWS Bedrock and Copilot tools.

Develops and maintains healthcare claims-editing content for physician and facility claims. Responsibilities include researching medical coding and regulatory sources, analyzing data and content defects, supporting client inquiries, partnering with Product and Operations teams, monitoring coding and reimbursement trends, ensuring quality and privacy compliance, and recommending content, automation, and process enhancements.

Own the Agile PMO operating model, delivery standards, governance, change management, PDLC adoption, operational health metrics, Jira data quality, and AI-first transformation. Develop frameworks, tooling, playbooks, reporting, and adoption strategies across product lines. Partner with product, engineering, HR, and technology leaders to improve organizational efficiency, identify systemic issues, guide operating model changes, and present recommendations to senior leadership.

Own the engineering foundation of Zelis’s data platform, including Snowflake architecture, scalability, resilience, tooling, CI/CD, DevOps, dbt standards, governance, security, and PHI/DLP controls. Define reference architecture and standards across teams, evaluate Snowflake capabilities for AI workloads, manage FinOps, and build and lead the platform engineering function. The role requires enterprise-scale Snowflake and AWS expertise, strong data-platform infrastructure automation experience, and leadership in secure, production-grade platform development.

Own and administer the Snowflake platform supporting data, dashboards, and AI workloads. Manage security, RBAC, governance, data protection, environments, resilience, performance, reliability, FinOps, automation, and CI/CD. Operate AWS integrations, sharing, replication, backup, and recovery capabilities; troubleshoot platform and pipeline issues; maintain documentation and runbooks; establish standards; enable engineering teams; and oversee distributed Snowflake administration resources.

Leads Zelis Data Cloud operations, owning production pipeline reliability, SLAs, monitoring, incident response, data quality, observability, Snowflake administration, and operational compliance. Establishes a DataOps and Data Reliability Engineering Center of Excellence with distributed L1/L2/L3 support, builds runbooks and on-call processes, enables Global Operations Center support, manages operational metrics and costs, and leads cross-functional reliability improvements for data, analytics, and AI workloads.

Own and improve implementation team governance, reporting, ticket oversight, initiative tracking, and AI-enabled workflows. Evaluate operational data to identify risks, prepare leadership-ready summaries, drive escalation and follow-up, maintain Confluence/SharePoint, and enable continuous improvement across processes and tools.

Serve as primary Zelis contact for an assigned book of payer/TPA clients to drive retention, renewals, and revenue growth. Build executive relationships, conduct business reviews, identify risks and upsell opportunities, collaborate cross-functionally, and leverage data to demonstrate client value while meeting revenue targets.

Lead process improvement initiatives: design and implement process enhancements, troubleshoot complex operational issues, run small projects, produce data-driven analysis, maintain SOPs and documentation, build dashboards/reports, train junior staff, and act as SME for operational tools and workflows.

Lead the Software Composition Analysis (SCA) program: manage artifact repositories, identify and remediate open-source vulnerabilities and license risk, maintain SBOMs, integrate SCA/SAST/DAST into CI/CD, triage findings, conduct code reviews, train engineering teams, and track application security metrics.

Lead U.S. healthcare product vision and roadmap, translate stakeholder requirements into prioritized backlog items, drive feature definition and releases, ensure HIPAA and regulatory compliance, apply provider network and member engagement expertise, and lead agile ceremonies to deliver value with development and QA teams.

Provides high-level administrative support to senior executives by managing schedules, meetings, correspondence, travel arrangements, expenses, office resources, and confidential information. Coordinates meeting logistics, prepares materials, tracks project deliverables, communicates with stakeholders, supports special initiatives, and improves administrative processes. The role requires strong organization, communication, discretion, multitasking, and proficiency with Microsoft Office.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

The UAT Analyst will conduct UAT testing for healthcare claim editing projects, ensuring system functionality, accuracy, and quality through detailed test planning, execution, and analysis.

Designs, standardizes, migrates, transforms, validates and optimizes data across multi-database platforms. Builds and maintains ETL pipelines, supports client data lifecycles, troubleshoots production defects, contributes across SDLC, and maintains code in GitHub. Supports off-hours processing and ensures data quality and policy adherence.