Business Insights Analyst II - AI Accelerator
TD
Work Location: Montréal, Quebec, Canada Hours: 35 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: 79 100 $/$79,100 - 111 700 $/$111,700 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Position overview The AI Accelerator Analyst builds practical AI solutions and provides trusted advice. The role combines hands-on AI skills, analytical thinking, a focus on user needs and sound risk management. Success means creating useful solutions that people can easily adopt, such as reusable prompts, role-specific tools, simple prototypes, analytical workflows and clear documentation. The Analyst also helps colleagues build their AI skills. This requires balancing experimentation with good judgment, clearly explaining risks and recommending safer options when needed. Key responsibilities
- Build AI solutions: Create reusable prompts, copilots, analytical tools and prototypes. Test them, gather feedback, improve them and document how to use them.
- Use advanced analytics: Use Python, PySpark and Databricks to explore data, automate work and support AI use cases. Turn findings into clear recommendations.
- Stay current on AI tools: Build hands-on knowledge of different AI tools, test new features and explain where each tool adds value.
- Manage AI risks: Assess risks related to privacy, bias, unreliable outputs and regulation. Include the right controls, testing and escalation steps.
- Provide practical advice: Explain recommendations clearly and suggest workable alternatives when needed.
- Support adoption: Demonstrate solutions, create simple user guides and share lessons, reusable approaches and best practices.
- Strong hands-on knowledge of multiple AI tools.
- Strong prompt-writing skills and the ability to create reusable, role-specific tools.
- A focus on user needs, practical problems and adoption.
- Strong analytical skills and an understanding of the business work supported by AI solutions.
- Advanced skills in Python, PySpark and Databricks, including building, testing and troubleshooting solutions.
- Understanding of AI risks, including privacy, bias, output reliability and regulatory requirements.
- Ability to write clear policies, guidelines and user documentation.
- Curiosity about AI tools and a habit of testing, learning and sharing.
- Ability to build quickly, improve solutions using feedback and document them for others.
- Strong written and verbal communication skills for technical and non-technical audiences.
- Ability to work independently and with others in a fast-moving environment.
- A bachelor’s or master’s degree in a relevant field, or an equivalent combination of education and experience.
- Experience turning new technology into business processes, analytical products or practical solutions.
- Experience supporting training, change or adoption of new tools and ways of working.
$81.6k - $115.2k per year
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