Senior Analyst, Data and Planning
Location: Virtual full-time employment opportunity with in-person team meetings a few times per year, for a maximum of 3 consecutive days
Reports to: Program Lead, Data and Planning
Job Summary
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
Duties and Responsibilities
Supports the planning, execution, technical enhancement, and continuous improvement of the Digital Front Door, and other AI-enabled initiatives aligned with Health Workforce Canada’s strategic priorities.
Leads research, literature reviews, environmental scans, and consultations on advancements in artificial intelligence, search technologies, digital knowledge tools, and health workforce data and content priorities aligned with HWC’s strategic priorities, and prepares strategic documents, briefing notes, reports, and presentations to inform innovation, risk mitigation, and product evolution.
Supports the development, optimization, and technical refinement of digital tools and AI-enabled systems by contributing to configuration, troubleshooting, testing, validation, and enhancement activities; assisting with search and retrieval logic, metadata structures, and taxonomy alignment; and collaborating with ITS teams and vendors to implement improvements and new functionalities.
Designs, prototypes, tests, and enhances AI-enabled capabilities that improve how data and evidence are accessed, retrieved, interpreted, and connected, and implements performance and quality-assurance processes that monitor relevance, accuracy, transparency, grounding, and potential bias to support continuous improvement.
Conducts quality assurance of system outputs by validating responses against source content, language consistency, and expected system behavior.
Monitors and evaluates system performance and analyzes usage data, feedback, and information needs to identify gaps, trends, and opportunities, and provides recommendations to inform platform improvements, content prioritization, and strategic planning.
Contributes to the configuration, refinement, and testing of prompts, retrieval processes, agents, or automation workflows within AI-enabled tools.
Participates in engagement and onboarding processes with external contributors to Digital Front Door content.
Contributes to the planning, design, development, and delivery of knowledge translation and capacity-building products, including meetings, webinars, reports, and presentations.
Participates in matrix team model across the organization to provide support to other areas in the data and planning division, and other teams including dashboard development, modelling scans, and stakeholder engagement activities.
Facilitates collaboration with HWC teams and 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.
Knowledge and Experience
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, and Kendra) and managing cloud-hosted digital platforms is an asset.
Knowledge of AI evaluation and testing methodologies, including 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.
Bilingualism is required