Cardinal Health's Data & Analytics Function needs to ensure raw data is usable and accessible for the organization, managing analytic data platforms, reporting/business intelligence solutions, and advanced quantitative modeling to drive business decisions and achieve a competitive advantage.
Requirements
- 8-12 years of experience in Data and Analytics (SAP HANA Modelling, GCP BigQuery, Business Objects, Tableau)
- 1-2 years of experience with HANA S4, SAP Business Data Cloud(BDC), Databricks, preferred.
- Proven experience implementing and scaling SAP HANA Platform in a complex enterprise environment
- Deep expertise in data engineering, analytics, and AI/ML using GCP, Databricks and related technologies, preferred.
- Strong understanding of cloud platforms (Azure, AWS, or GCP) and data architecture principles.
- SAP HANA/S4 certifications (e.g., Modelling, Certified Data Engineer, Solutions Architect), preferred
- Experience with CI/CD, DevOps for data, and data governance frameworks, preferred
Responsibilities
- Lead the technical implementation of the SAP HANA and Google Cloud platforms (GCP), ensuring alignment with enterprise data architecture and strategy.
- Serve as the primary technical advisor and SME for SAP HANA and Google Cloud Platforms across the organization.
- Collaborate with business and technology stakeholders to design scalable, secure, and high-performance data solutions.
- Guide and mentor application and project teams on best practices for data engineering, analytics, and AI/ML using Google Cloud Platform.
- Drive the adoption of the Data Modeling architecture, integrating structured and unstructured data sources.
- Partner with data governance, security, and infrastructure teams to ensure compliance and operational excellence.
- Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences, including executive leadership.
Other
- Demonstrated leadership in guiding cross-functional teams and delivering enterprise-scale data solutions
- Excellent communication and interpersonal skills with the ability to influence and collaborate across all levels of the organization
- Experience working in a matrixed environment supporting multiple business units and projects
- Familiarity with enterprise data strategy and data product thinking.
- Bachelor's degree in related field, or equivalent work experience, preferred
