Jobs at Cardinal Health

Prioritize and quantify cyber risk by correlating vulnerability data, threat intelligence, attack paths, adversary behavior, and business impact. Model exposure scenarios across identity, cloud, network, and endpoint environments; partner with red and blue teams; translate technical findings into business risk; track remediation and residual risk; communicate risk posture to security leadership, GRC, and engineering stakeholders; and influence security investments based on measurable risk reduction.

Provides Tier 1–3 technical support for end users across software, hardware, conference room, warehouse, server, network, and enterprise systems. Resolves escalated issues, installs and upgrades PC components and software, manages technology assets, supports collaboration and virtual platforms, addresses service outages, and trains users. Works under supervision on routine technical problems and limited-scope projects.

Leads SAP testing strategy, architecture, standards, automation, and quality processes across enterprise applications. Manages teams of 12–15 specialists, coordinates internal and external stakeholders, oversees testing across multiple projects, develops scalable solutions and roadmaps, establishes KPIs and configuration standards, and drives organizational change. The role requires extensive SAP business-process knowledge, strong program and people management, technical leadership, and collaboration across global onshore-offshore teams.

Coordinates master data management and governance activities, supporting data strategy, quality, standards, policies, metrics, validation, standardization, enrichment, protection, and publication. Collaborates with teams to resolve complex data-related problems, execute responsibilities, maintain operational efficiency, and support trusted data use for regulatory and business goals.

Coordinates master data management and governance activities, supporting data strategy, quality, standards, policies, metrics, validation, standardization, enrichment, protection, and publication. Resolves complex data-related issues, ensures effective execution of responsibilities, collaborates with team members, and supports trusted data use for regulatory and business goals.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and operational reports, analyze productivity and process data, and deliver actionable insights for continuous improvement. The role supports process discovery, automation, workflow solutions, system integrations, data modeling, and operational performance measurement. It also partners with stakeholders, provides platform guidance, develops documentation, and contributes to process optimization, capacity planning, and data-driven business decisions.

Supports IAM audit and compliance activities by coordinating evidence collection, reviewing control documentation, tracking findings and remediation, conducting control testing and access reviews, and preparing audit-readiness metrics. Uses Excel, Microsoft Copilot, AI tools, and automation to analyze data, improve evidence quality, identify risks, and strengthen security control maturity.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and automated reporting, analyze operational and workforce data, and identify process improvement opportunities. The role supports process intelligence, productivity analysis, workflow automation, system integrations, business application development, and data-driven recommendations. Responsibilities also include stakeholder engagement, user training, documentation, governance, platform maintenance, and translating business requirements into scalable analytics and process optimization solutions.

Manages and governs data assets by supporting data strategy, quality, standards, access, validation, standardization, protection, and publication. Works on limited-scope data management projects, follows established procedures, resolves routine technical issues, and supports trusted data use for regulatory and business goals. The role may require multiple shifts, including late-night shifts.

Build, maintain, and optimize enterprise data platforms using Databricks, Apache Spark, cloud technologies, and DevOps tools. Develop CI/CD pipelines, support cloud migration and automation, monitor platform health, resolve incidents, and ensure security, governance, reliability, and operational standards. Collaborate with engineers, architects, product teams, stakeholders, and global support teams while participating in rotational production support shifts.

Supports enterprise data platform engineering through Databricks and Spark workload management, cloud platform operations, CI/CD automation, monitoring, incident resolution, production support, and platform modernization. The role collaborates with engineering, architecture, product, and business teams while maintaining security, governance, reliability, documentation, and operational standards. Rotational shifts provide global support coverage.

Supports sales and account management operations by resolving customer issues, maintaining account records, coordinating cross-functional teams, managing escalations, facilitating customer communications, auditing account setups, and producing customer reports. The role also contributes to process improvements, automated reporting, contractual service-level monitoring, and inquiry research while ensuring accurate, timely customer and account support.

Designs, develops, implements, and supports enterprise-scale middleware integrations using Boomi, cloud platforms, databases, SAP, Kafka, and Salesforce. Establishes architecture patterns for highly available and fault-tolerant systems, configures clustered environments and containers, monitors platform health, resolves production issues, and leads system implementations. The role also provides technical direction, mentors team members, collaborates across functions, and drives continuous improvement in integration stability, performance, and resilience.

Designs, deploys, and operates GKE-based Kubernetes and serverless platforms alongside enterprise Harness CI/CD. Builds standardized pipelines, integrates Terraform and GitOps, embeds security and compliance controls, monitors platform health, troubleshoots incidents, and partners with application and security teams to deliver reliable, governed cloud-native capabilities.

Designs, deploys, and supports Kubernetes and serverless platforms on GKE while operating the enterprise Harness CI/CD ecosystem. Builds standardized pipelines, integrates Terraform and GitOps, embeds security and compliance controls, monitors platform health, resolves incidents, and establishes governance guardrails. Partners with application, security, and platform teams to improve developer experience, reliability, scalability, and deployment consistency across a large multi-cloud enterprise environment.

Supports IT network and telecommunications operations by analyzing, maintaining, and troubleshooting LAN/WAN infrastructure, network hardware, telecommunications systems, and transmission equipment. Performs routine technical tasks, resolves identifiable network problems, supports limited-scope projects, follows established procedures, and develops competency under direct supervision.

Leads quality and knowledge management governance, audits, performance analytics, root-cause investigations, continuous improvement, knowledge lifecycle management, and capability development. Partners with operations, training, process excellence, risk, and business leaders to improve quality, knowledge utilization, workforce readiness, and operational effectiveness. Oversees reporting, dashboards, stakeholder engagement, team development, and achievement of quality and knowledge management KPIs.

Leads enterprise architecture strategy for GMPD Technology, aligning business objectives with scalable business, application, data, and technology architectures. Develops roadmaps, standards, governance, and reference architectures; guides solution delivery and evaluates risk, ROI, vendors, and emerging technologies. Partners with technical and business stakeholders, supports cloud and data architecture initiatives, communicates with senior leadership, and promotes architecture practices across complex transformation programs.

Manages multiple data engineering teams responsible for enterprise-scale data transformation operations, data lakes, and analytics and AI/ML solutions on Google Cloud. Oversees staffing, coaching, budgets, demand management, delivery schedules, vendor resources, governance, and stakeholder relationships. Applies software engineering, DevOps, Scrum, Agile, product, and service management practices while coordinating cross-functional teams to deliver reliable data platform capabilities and automations.

Supports a business-critical warehouse management system in a 24x7 environment. Responsibilities include application maintenance, upgrades, incident resolution, infrastructure and database administration, SQL performance optimization, monitoring, integrations, change and release management, vendor coordination, SOX compliance, disaster recovery testing, documentation, and continuous service improvement.