Senior Analyst – AI Integration, Data and Planning
About the Organization
We are a pan-Canadian, not-for-profit organization with a bold vision: to transform health workforce planning across Canada. Through advanced data and modelling tools, strategic knowledge translation, and network convening, we serve as a catalyst for system change.
Just beginning our third year of operation, we work with partners who hold the levers for change—federal, provincial, and territorial governments, health authorities and employers, and the health professions that serve and support our communities. Together, we are building a co-designed, co-developed approach to health workforce planning that is grounded in data, informed by evidence, and driven by collaboration.
Key Responsibilities
- Works across two programs, collaborating with multiple teams while reporting to a single Program Lead to manage health workforce data and information, ensuring it is fit for purpose to support testing and development of AI integration across existing Health Workforce Canada data products and assets. Key deliverables include relevant documentation for requirement gathering, testing framework, internal data management infrastructure and governance, and performance measurement.
- Conducts management and preparation of data repository and curated content collections to support AI integration including writing and updating statistical code as required for the development, computation, analysis, and/or verification of key deliverables. Includes leading development and execution of test strategies/test cases to ensure accuracy and reliability of retrieval of reported results in adherence with an established information quality framework.
- Conducts environmental scans and stays apprised of key developments within the AI space to ensure use of optimal and appropriate AI models.
- Explores and enhances existing AI technologies by designing and testing new capabilities that improve how data and evidence are accessed, interpreted and connected.
- Designs and implements AI performance and quality-assurance processes, including monitoring relevance, accuracy, transparency, and potential bias in AI-enabled outputs and use these insights to drive continuous improvement.
- Leads and/or contributes to the development of materials (e.g., reports, methodology or technical notes, presentations, etc.) for internal and external engagement and knowledge translation, and reviews written products for analytic/technical accuracy and quality.
- Ensures adherence to, and ability to demonstrate compliance with, Health Workforce Canada’s privacy and security policies and procedures when using data and information.
- Maintains and builds current knowledge of health workforce related data holdings, tools, analytical techniques and trends in health services research and health policy, and stakeholder information needs to support current work and contribute to the development of new analytic proposals.
- Participates in other meetings and corporate project teams as required.
- Contributes to the promotion of Health Workforce Canada through the participation of external committees, presentations and/or attendance at conferences and other activities, as required.
What We’re Looking For
- Master’s degree in a field such as computer science, data science, health informatics, or health sciences, or equivalent combination of experience/education.
- Three to five years of related experience working with relational databases / large datasets, including manipulating, maintaining, and preparing data.
- Experience working with innovative technology, including but not limited to AI tools and other generative business intelligence tools.
- Experience with and knowledge of large language models (LLMs) and information-retrieval technologies, including development and application.
- Familiarity with AWS services (e.g., Bedrock, Kendra, and QuickSight) and managing cloud-hosted digital platforms is an asset.
- Knowledge of AI evaluation and testing methodologies, including for relevance, accuracy, faithfulness, validation, bias detection, and continuous improvement strategies.
- Proficiency with data manipulation and open-source programming languages such as Python is essential.
- Foundational knowledge of agentic AI concepts and the design of intelligent, task-oriented AI systems.
- Proficiency in use of Microsoft Office applications, including Power BI and/or other business intelligence tools.
- Knowledge of health human resources issues and the Canadian health care system, as well as a sound knowledge of health data and information and its uses for policy development, planning, management and evaluation purposes.
- Excellent interpersonal skills and ability to work as part of a multi-disciplinary team with minimal supervision.
- Proven organizational and time management skills, with an ability to manage multiple projects and priorities effectively to meet deadlines.
- Excellent attention to detail and problem-solving skills.
- Fluency in English is required, bilingualism is an asset.
What We Offer
- A meaningful opportunity to shape the future of health workforce planning in Canada
- A flexible, virtual work environment with a collaborative and supportive team culture
- A competitive compensation and benefits package
- Opportunities for professional growth and leadership in a fast-evolving organization
Health Workforce Canada does not use artificial intelligence (AI) tools as part of the applicant screening process. All applications are reviewed by our recruitment and hiring teams to ensure a fair and thorough assessment of applicants.
Location:
Remote work opportunity with in-person team meetings a few times per year, for a maximum of 3 consecutive days
Job Level:
Level 3 ($82,450 to $111,550)
Reports to:
Program Lead, Data and Planning
Employment Type:
One year, fixed term employment opportunity to March 31, 2027
Closing Date:
Monday February 9th, 2026