Technical Program Manager - MLOps, Data Governance

Work Mode: Hybrid (2 days per week in-person at Toronto office preferred) Skills required: 1012 years in technical program/project management with at least 35 years in data platforms and AI/ML operations. Strong understanding of data architectures (lake/lakehouse, warehouse, streaming), data governance, and MLOps/ModelOps concepts. MLOps/AI: Azure ML, SageMaker, Vertex AI; MLflow, model registry, feature stores, drift/fairness/explainability tools. Data Governance: Purview, Collibra, Alation; data lineage, cataloging, DQ tooling. Orchestration and CI/CD: Airflow, Prefect, dbt; GitHub Actions/Azure DevOps/Jenkins; Terraform/Bicep/CloudFormation. Monitoring/Observability: Prometheus/Grafana, cloud-native monitors, logging, data quality monitors, model monitoring. Cloud & Data: Azure (Synapse, Fabric), AWS (S3/Glue/Redshift), GCP (BigQuery/Dataflow), Databricks, Snowflake. Proven experience embedding security/privacy-by-design and RAI principles into delivery and ops. Excellent s...