supplier decisions. Define enterprise data architecture, modelling, engineering, integration and API standards, and enable their consistent implementation through reusable patterns, automation, code and DataOps practices. Provide trusted data foundations, standards and guardrails that enable and support Business Units to deliver reporting, analytics, data products and AI-enabled solutions safely, consistently … working knowledge of information management disciplines and their interfaces with data. Strong operating knowledge of enterprise data architecture, engineering, cloud data platforms, integration, APIs, DataOps, observability, automation, analytics, data products and the data foundations required for AI. Demonstrable experience building, developing or materially reshaping enterprise data functions, platforms and professional ...