Define enterprise-wide data and semantic architecture to support AI-driven insights and automation
Job Summary
Define enterprise-wide data and semantic architecture to support AI-driven insights and automation.
Able to lead Design of AI ready “Intelligent Data Platform” ensuring consistent, governed, interoperable data across McKesson's platforms and BU segments.
We foster a culture where you can grow, make an impact, and are empowered to bring new ideas.
Matching Summary
Define enterprise-wide data and semantic architecture to support AI-driven insights and automation.
Skills & Requirements
Must-have
Enterprise data architecture
Data requirements collection
Enterprise data modeling
Semantic layers
Large-scale integration
Databricks, Snowflake, MDM, SAP, Salesforce/Conga
Nice-to-have
Facilitating data driven change
Creating business value through data
Innovative and creative problem-solving skills
Change Champion
Key Requirements
7+ years' experience in data engineering and architecture
Master's or Bachelor’s degree in Computer Science, Engineering, or a related field