Strong expertise in at least one cloud data and AI stack, with familiarity in a second: Google Cloud (BigQuery, Dataflow, Dataproc, Dataplex, Vertex AI), Azure (Data Factory, Databricks, Fabric, Purview, Azure ML, Azure OpenAI) or AWS (Glue, EMR, Redshift, SageMaker, Bedrock). " Capability building: Define skill priorities across Data Engineering, Data Management, analytics and AI; mentor consultants, architects and engineers; and maintain a current market and technology point of view.