Manager Data Operations Data & Insights, IMG

CAMHToronto, ON
CA$102,736 - CA$154,104Onsite

About The Position

The Manager, Data Operations is a full-time, permanent role accountable for the development of technology and processes for CAMH data and reporting architecture. This includes the Enterprise Data Warehouse, Research Data Warehouse, Machine Learning Operations infrastructure, and Visualization/Dashboard systems, as well as integration between these technologies and other related reporting applications. The Manager leads a team of ETL Developers and OLAP developers in designing, modeling, developing, and implementing data warehouses using tools like Snowflake. They are also responsible for the maintenance and enhancement of the HSP360 Data Warehouse Model in collaboration with Business Stakeholders. CAMH is committed to its core values of Courage, Respect, and Excellence, and is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education, and drive social change. CAMH's mission is to change how society thinks about and responds to mental illness, aiming to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system.

Requirements

  • Experience in developing technology and processes for data and reporting architecture.
  • Experience with Enterprise Data Warehouse, Research Data Warehouse, Machine Learning Operations infrastructure, and Visualization/Dashboard systems.
  • Experience with integration between technologies and reporting applications.
  • Experience leading a team of ETL Developers and OLAP developers.
  • Experience in designing, modeling, developing, and implementing data warehouses.
  • Proficiency with tools like Snowflake.
  • Experience in maintenance and enhancement of Data Warehouse Models.
  • Collaboration with Business Stakeholders.

Responsibilities

  • Development of technology and processes for CAMH data and reporting architecture, including the Enterprise Data Warehouse, Research Data Warehouse, Machine Learning Operations infrastructure and Visualization/Dashboard systems.
  • Integration between these technologies and other related reporting applications.
  • Leading a team of designated ETL Developers and OLAP developers in the designing, modeling, developing and implementing data warehouses using tools like Snowflake.
  • Maintenance and enhancement of the HSP360 Data Warehouse Model, in collaboration with Business Stakeholders.
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