Business Analyst, Transformation and Innovation

- Full-time
- Department: Other (Not Listed)
- Compensation: CAD 72,404 - CAD 90,505 - yearly

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

Union: Non-Union

Number of Vacancies: 1

Current or Replacement Position: New

Site: Toronto General Hospital

Department: Data & Analytics

Reports to: Senior Manager, Transformation and Innovation

Hours: 37.5 hours per week

Salary: $72,404 to $90,505 annually

Status: Permanent Full Time

Closing Date: November 5, 2026

Position Summary

The Business Analyst, Transformation and Innovation, reports to the Senior Manager, Transformation and Innovation will focus on Artificial Intelligence, Advanced Analytics, and Rapid Prototyping.



This role is designed for someone who can move fluidly between structured strategic thinking and hands‑on building. The Analyst works on high-impact initiatives across the organization, helping translate complex challenges into actionable insights and developing prototypes that demonstrate what is possible. This is an opportunity to shape how emerging technologies are applied in leading healthcare and operational environments.

Duties

- Break down complex, ambiguous problems into clear analytical approaches
- Support development of strategic plans, business cases, and transformation roadmaps
- Identify opportunities where AI and analytics can drive meaningful impact
- Develop clear, compelling analyses and recommendations for senior leadership
- Synthesize complex topics into concise narratives to support decision-making
- Develop and test agentic AI workflows and tools to support decision-making and operations
- Rapidly prototype ideas using emerging platforms (e.g., AI agents, LLMs, APIs)
- Translate concepts into tangible demos that stakeholders can interact with
- Apply AI/LLM tools and prototyping workflows to real-world problems
- Analyze clinical, operational, and corporate data to generate insights
- Provide clear, actionable recommendations that go beyond standard reporting




- Combine traditional analytics with AI-driven approaches
- Use data analysis and visualization tools (e.g., SQL, Python, Power BI, Tableau) to communicate findings
- Lead short‑cycle experiments from idea to prototype to iteration
- Evaluate new tools, platforms, and technologies through hands‑on testing
- Document learnings and develop reusable frameworks
- Support executive discussions, workshops, and strategy sessions
- Collaborate with cross‑functional teams across strategy, data, and clinical domains
- Identify when a problem exists or a decision is required, and resolve it using established decision authority and problem‑solving procedures
- Work with others to evaluate issues and propose solutions
- Resolve a variety of problems encountered in normal business activity, using alternative methods or resources when obstacles arise
- Approach problems proactively and with an open mind, applying ideas and approaches from others

Qualifications

- Undergraduate degree in Business/Health Administration, Finance, Engineering, or a recognized equivalent; a graduate degree (e.g., MBA, MHA, MSc) is an asset;
- A minimum of 1-3 years of experience in management consulting, strategy, advanced analytics, or a related role, preferably in healthcare;
- Working proficiency in Python and SQL;
- Experience with business intelligence and visualization platforms such as Power BI or Tableau;
- Hands-on experience with large language models and their APIs (e.g., OpenAI, Anthropic, Azure OpenAI), including prompt design;
- Familiarity with agentic AI frameworks and techniques (e.g., Lan

📌 Business Analyst, Transformation and Innovation (Toronto)
🏢 University Health Network
📍 Toronto