Emerging Technology Solutions Analyst – AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Convert clinical, organizational, or IT requirements into functional and IT specifications.

• Evaluate the value and risks associated with AI solutions, categorize them, and keep an updated inventory.

• Ensure consistent process standardization.

• Assist project sponsors and generate reports.

• Recommend technology and analytics solutions that meet business requirements.

• Identify and establish relevant metrics based on the business needs of clients.

• Create business-focused semantic models.

• Continuously track emerging technologies and compile dissemination reports.

• Contribute to information governance initiatives.

• Validate the accuracy and dependability of metrics.

• Work collaboratively with technical teams on data integration efforts.

• Perform strategic monitoring of healthcare technologies.

⛳️ Requirements

• Strong proficiency in both spoken and written French.

• A Bachelor’s degree in information technology, artificial intelligence, clinical informatics, or a related field pertinent to the duties and requirements of this role.

• MIFI equivalency assessment is mandatory for degrees obtained outside Quebec.

• A minimum of eight (8) years of experience in information technology.

• At least five (5) years of experience in technology solutions analysis or business analytics.

• Two (2) years of experience in data modeling and advanced analytics.

• Familiarity with emerging technologies such as AI, ML, and analytics.

• Experience in the healthcare industry is an advantage.

• Capability to analyze business requirements and convert them into technical specifications.

• Expertise in semantic and conceptual data modeling.

• Proficiency in designing dashboards and visualizing data.

• Skilled in defining and validating performance indicators.

• Advanced knowledge of Power BI and Tableau.

• Strong SQL skills and experience with relational databases.

• Understanding of data architectures including data warehouses and data lakes.

• Familiarity with modeling tools.

• Knowledge of cloud technologies such as Azure, AWS, and GCP.

• Understanding of machine learning and AI principles.

• Experience with predictive and descriptive analytics.

• Systematic approach to technology monitoring.

• Knowledge of clinical and administrative healthcare processes.

• Understanding of care pathways.

• Proficiency in business process analysis.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to promote work-life balance.

• Supportive and collaborative work environment.