Data Science and AI Program Manager

4 weeks ago


Winnipeg, Manitoba, Canada Manitoba Public Insurance Full time

Job Summary

We are seeking a highly skilled Data Science and AI Program Manager to lead our advanced analytics initiatives and drive business value through the development and deployment of production-ready machine learning and analytics solutions.

The successful candidate will have a strong background in statistics, computer science, or a related quantitative field, and at least three years of experience in a management or leadership role. They will be responsible for overseeing the development of our data science and AI program, leading delivery of advanced analytics services, and guiding the identification, research, selection, and alignment of technology solutions.

Key Responsibilities

  • Supervise, coach, and conduct performance management evaluations of direct reports.
  • Foster a high-performance culture that is consistent with our corporate vision, values, and leading practices.
  • Oversee the development of the data science and AI program and lead delivery of advanced analytics services.
  • Guide the identification, research, selection, and alignment of technology solutions.
  • Review and approve changes to policies, procedures, and practices related to data science and AI.
  • Drive the adoption and integration of machine learning and AI use-cases into regular business operations and processes.
  • Oversee the management of data science projects from inception to completion.

Requirements

  • Education in Statistics, Computer Science, Engineering, or related quantitative fields of study.
  • Three years of experience in a management or leadership role.
  • Experience in areas including data science, statistics, machine learning, data analysis, data integrations (ETL), systems design, maintenance, and/or coding.
  • Experience creating business value through the development and deployment of production-ready machine learning or advanced analytics solutions.
  • Advanced theoretical and practical working knowledge of statistical machine learning topics, concepts, and methodologies.
  • Intermediate experience with cloud technologies (e.g., MS Azure, AWS, GCP).
  • Intermediate knowledge and experience with machine learning operations (MLOps).
  • Working knowledge of Out-of-the-box AI services provided by cloud providers (e.g., Azure AI services) to accelerate use-cases related to areas such as natural language processing and data-driven decision-making.
  • Intermediate knowledge of responsible AI concepts including machine learning interpretability/explainability.


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