Cardinal Health
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The role involves managing escalations and operations in public cloud environments, enhancing a knowledge base for cloud technologies, handling client requests, conducting periodic system changes, and participating in on-call coverage. The engineer is expected to apply expertise in cloud platforms, systems administration, and automation solutions while maintaining documentation and critical thinking skills.
The Advisor, Data Analytics supports procurement through data analysis, utilizing tools like Alteryx and Tableau. Responsibilities include managing complex projects, developing technical solutions, and mentoring junior staff while demonstrating strong financial acumen.
Lead the support of Data Science and ML Ops elements, develop and deploy advanced analytical models, assist in ML solutions adoption, maintain documentation, and collaborate closely with various stakeholders to ensure optimal functioning of ML technologies.
The role involves managing day-to-day operations of customer billing, carrier cost audits, remittance, and reconciliation at Cardinal Health. The individual will ensure billing performance, cycle times, and invoice accuracy while collaborating with internal and external partners to optimize financial processes.
The Principal Molding Engineer will design and implement manufacturing processes, document them for compliance with ISO and FDA standards, and optimize production by reducing waste and improving capacity. This role involves team coordination, project management, and ensuring product quality, while also focusing on continuous improvement initiatives.
The Senior Support Analyst will support Genesys applications and systems, focusing on the Genesys Cloud CX platform. Responsibilities include delivering customer service, resolving issues, maintaining documentation, and handling incidents. Strong analytical, problem-solving skills, and experience in a contact center environment are required.
The Consultant for Salesforce Enablement will support the U.S. Medical Products sales team by optimizing Salesforce functionality, providing Level 2 support, and facilitating training sessions. This role involves collaboration with various departments, managing a Champion program, and ensuring effective use of Tableau for data analysis.
The Senior Engineer will be responsible for managing IT experience and business applications for various business units, ensuring compliance with SLAs, managing vendor relations, and improving application monitoring. This role includes acting as a liaison for the business with corporate IT functions, guiding effective IT solutions, and enhancing customer onboarding experiences.
The Cost Accountant Advisor will consolidate operation reports, support budget and forecast preparation, maintain expense control, manage financial entries, assist with monthly closures, ensure intercompany reconciliations, and coordinate external audits.
The Senior Coordinator, Accounts Receivable manages client-facing reconciling tasks and provides customer support through critical thinking and organization. Responsibilities include ensuring accurate processing of vendor invoices, employee expenses, and cash applications while applying strong financial processes and internal controls.
The Senior Analyst will develop and deliver Intelligent Automation solutions using Automation Anywhere and Python, analyze system monitoring data, create user stories and technical requirements, resolve technical problems, and work closely with product owners and UX designers to define and translate project needs into clear specifications.
The Program Optimization Coordinator is responsible for transforming data into actionable business intelligence, optimizing sales organization processes, managing customer contracts, and supporting freight program goals. This role involves analyzing performance data, addressing cost savings, and facilitating communication between customers and vendors.
The Automation Testing Engineer is responsible for designing and deploying test automation solutions, supporting various testing phases including load, performance, and functional acceptance testing. The role involves evaluating new tools, assisting in automation strategies, performing white box testing, and providing technical support to Software Quality Engineers.
The Analyst in Finance Operations will handle customer inquiries regarding credit card transactions, process credit card transactions, analyze transaction data, maintain accurate records, and assist in developing policies. The role requires strong analytical skills, excellent customer service, and familiarity with credit card processing.
As a Full Stack Data Scientist & Machine Learning Engineer at Cardinal Health, you'll develop and deploy machine learning models, integrate generative AI solutions, create user-facing applications, and construct robust APIs. You will collaborate with cross-functional teams and stay updated on AI trends while ensuring scalable and efficient solutions in healthcare.
The Principal Project Engineer is responsible for defining and maintaining manufacturing processes, overseeing project management involving product/process transfers, and managing compliance documentation. This role includes analyzing project progress, providing technical support, improving operational performance, and ensuring adherence to quality and safety standards.
The Full Stack Software Engineer at Cardinal Health will work on application development and maintenance by programming and configuring software systems to meet internal and external needs. Responsibilities include developing technical solutions to complex problems, potentially mentoring less experienced colleagues, and applying comprehensive knowledge to various projects while adhering to design control processes.
The role is responsible for ensuring operational efficiency in product delivery, managing relationships with 3PL providers, and developing KPIs for supply chain processes. Key tasks include coordinating logistics, data management, and continuous improvement in operations in Colombia.
Lead and sustain Data Science and Machine Learning Operations solutions for the organization, focusing on business value creation through advanced analytical models and effective ML Ops practices. Collaborate with stakeholders for seamless implementation and maintenance, ensuring minimal disruption and high service quality.
The role focuses on API development, ensuring the integration and functionality of APIs within existing systems. Candidates should demonstrate the ability to work collaboratively, contributing to projects that enhance customer solutions. The position supports an inclusive work culture.