Business Analyst, Transformation and Innovation

Position summary

Strategy and analysis

• Break complex, ambiguous problems into clear analytical approaches and support strategic plans, business cases, and transformation roadmaps.
• Identify AI and analytics opportunities; develop analyses and recommendations for senior leadership.
• Synthesize complex topics into concise narratives that support decision-making.
• Analyze clinical, operational, and corporate data and provide actionable recommendations beyond standard reporting.
• Use data analysis and visualization tools, including SQL, Python, Power BI, and Tableau, to communicate findings.

AI prototyping and experimentation

• Develop and test agentic AI workflows and tools that support decision-making and operations.
• Rapidly prototype ideas with emerging platforms such as AI agents, LLMs, and APIs; create tangible demonstrations for stakeholders.
• Apply AI/LLM tools and prototyping workflows to real-world problems.
• Lead short-cycle experiments from idea through prototype and iteration; evaluate technologies through hands-on testing.
• Document learnings and create reusable frameworks.

Collaboration and organizational support

• Support executive discussions, workshops, and strategy sessions.
• Collaborate with cross-functional teams across strategy, data, and clinical domains.
• Identify decisions and problems, work with others to evaluate issues, and propose solutions using established procedures and decision authority.
• Resolve normal business problems using alternative methods or resources when obstacles arise; approach problems proactively and consider others’ ideas.

Education and experience

• Undergraduate degree in Business/Health Administration, Finance, Engineering, or a recognized equivalent; a graduate degree such as an MBA, MHA, or MSc is an asset.
• At least 1–3 years of management consulting, strategy, advanced analytics, or related experience; healthcare experience is preferred.
• Working proficiency in Python and SQL.
• Experience with business intelligence and visualization platforms such as Power BI or Tableau.

Technical and analytical qualifications

• Hands-on experience with LLMs and their APIs, including prompt design.
• Familiarity with agentic AI frameworks and techniques such as LangChain, LangGraph, and retrieval-augmented generation, plus low-code or rapid prototyping tools.
• Evidence of building working prototypes, demos, or AI tools through a portfolio or project examples.
• Sound knowledge of statistical methods and analytical modelling.
• Experience preparing business cases, strategic plans, or executive-level presentations.

Preferred qualifications

• Understanding of hospital data sources and the Ontario healthcare system is preferred.
• Knowledge of healthcare privacy, data governance, and responsible AI considerations such as PHIPA is preferred.
• Familiarity with Agile, Lean, or design thinking methods is an asset.
• Excellent written, verbal, and presentation skills, including explaining technical concepts to non-technical audiences.
• Strong analytical, critical-thinking, structured problem-solving, organizational, and time-management skills; self-directed, quick to learn, and attentive to detail.

Compensation

• Annual salary is CAD 72,404–CAD 90,505.

Location and schedule

• Site is Toronto General Hospital; the description does not specify a remote or hybrid arrangement.
• The position is listed at 37.5 hours per week.