Jobs at Cardinal Health

Lead and develop a team of quality analysts to monitor and evaluate customer interactions using interaction analytics (speech, text, AQM). Build QA frameworks, deliver reports and insights, partner cross-functionally to drive performance improvements, coaching, and continuous improvement in a call center environment.

Perform information security and risk activities including implementing and enforcing security controls, incident response, threat management, vulnerability scanning, malware management, intrusion detection, risk assessments, and backup/disaster recovery planning. Work on moderate-scope projects with general guidance and apply judgment within defined parameters.

Supervise and coordinate daily operations of end-user support staff, enforce policies and procedures, ensure team compliance with guidelines, make operational decisions affecting the unit and customers, and interact with subordinates, customers, and peers to exchange information and resolve basic issues.

Designs and delivers data analytics and BI solutions across the analytics lifecycle, produces actionable insights, solves complex problems independently, mentors junior staff, and contributes to policies and technical solutions for large-scope projects.

Administer and support Microsoft 365 productivity platforms, resolve escalated technical issues, design permanent solutions and automations, lead projects, deliver trainings, create reports, and collaborate across teams to improve service stability.

Assess business opportunities and promote data science adoption. Build, test, and operationalize ML and GenAI solutions; design ML/LLM pipelines (RAG, prompt engineering). Develop scalable cloud functions and microservices, integrate APIs with ApigeeX, monitor performance, and collaborate with stakeholders to drive solution adoption.

Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.

Abstract and enter clinical data from health records, ensure data quality and confidentiality, use EHR/practice management systems and Microsoft Office, troubleshoot basic access/VPN/MFA issues, and collaborate with clinical teams to support operations.

Designs, develops, and sustains Android applications within cross-functional teams. Works on moderate-scope projects, identifies and resolves technical issues, applies engineering best practices, and collaborates with business partners to maintain and enhance applications.

Lead a pricing support team to ensure pricing data integrity, manage performance and development, resolve escalations, implement process and system improvements, oversee pricing updates in ERP, collaborate cross-functionally, and analyze pricing disputes to recommend corrective actions.

Administer, monitor, and support Java applications and Genesys Cloud. Provide production troubleshooting, minor bug fixes and enhancements, and act as primary POC for Java apps. Develop/support microservices using Java and Spring Boot, perform analysis of system behavior, and apply problem-solving and diagnostics to maintain service quality.

Design, develop, enhance, and maintain full-stack web applications using Java/Spring Boot and Angular. Collaborate with cross-functional teams, document requirements, apply test-driven development, and resolve technical issues for applications backed by SQL and NoSQL databases.

Support revenue and pricing strategy through modeling, analytics, and econometrics. Assist in setting deal and product pricing, create standard offers, and capture value. Perform routine analytical tasks and process improvements under supervision, working on limited-scope projects and following established procedures.

Serve as liaison between business and IT to implement and support EDI trading partner setups. Manage ServiceNow tickets, gather and document requirements, work with external partners on EDI implementations, recommend solutions, maintain SLAs and dashboards, and ensure communication and quality across technical and business teams.

Develop, enhance, and sustain enterprise applications as part of Application Development & Maintenance. Work on moderate-scope projects, troubleshoot technical issues, apply engineering practices, and collaborate with cross-functional teams under general guidance.

Abstract and enter clinical data from healthcare records, apply clinical operations policies, troubleshoot VPN/MFA access, maintain confidentiality, and provide guidance to less-experienced team members while ensuring data quality and workflow adherence.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

Prioritize and quantify enterprise cyber risk by correlating threat intelligence, vulnerabilities, attack paths, and business impact. Model exploitable attack scenarios across identity, cloud, network, and endpoints. Partner with red/blue teams to assess likelihood and impact, support risk scoring and reporting, track remediation and residual risk, and communicate risk posture to security leadership, GRC, and engineering to influence security investments.

Support, monitor, and improve production Agentic AI and ML models for finance. Build data pipelines, perform EDA, optimize prompts and agents, troubleshoot drift, integrate models via APIs, and produce KPI-driven insights to align models with financial business requirements.

Maintain, monitor, and improve production Agentic AI and ML models for finance. Perform EDA, build data pipelines in Python/SQL, design and optimize prompts and RAG/LLM pipelines, support model-serving APIs, troubleshoot model drift, and produce KPI-driven insights for operational adoption.