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Senior Consultant, Data Engineering & AI Analytic Enablement

Job in Toronto, Ontario, C6A, Canada
Listing for: CIBC
Part Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, AI Engineer (Applied/Software), Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 CAD Yearly CAD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered  team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit

What You’ll Be Doing

The Senior Consultant, Data Engineering & AI Analytic Enablement role will be accountable for the day-to-day and strategic opportunities that align with the Equities Technology team, within Capital Markets Technology. You will focus on designing and building scalable data platforms supporting analytics, and AI-driven workflows. This role combines data engineering, data modeling, and applied AI development to enable analytics use cases.

You will create next generation analytics assets to enable data-driven decision making for business partners. In this role, you will lead the delivery of data driven insights and solutions to evaluate client behaviours and to optimise business decisions related to product, campaign, pricing and other business areas. Our team is at the forefront of designing scalable, secure, and high-performing data solutions that enable business intelligence, advanced analytics, and AI-driven innovation.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1‑2 days per week on‑site, while other days will be remote.

How You’ll Succeed
  • Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
  • Establish data governance and quality frameworks – ensuring adherence to regulatory and internal standards.
  • Drive innovation in AI – by contributing to the design and development of a multi‑agent AI framework that integrates with enterprise data platforms for intelligent automation and decision‑making.
  • Reporting – Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.
  • Stakeholder Collaboration – Translate business requirements into scalable data solutions.
Who You Are
  • You can demonstrate experience with: 7+ years in data architecture and engineering roles within large‑scale enterprise environments; 5+ years' experience in languages (Python, PySpark, SQL), Databases, Azure Cloud, ETL (Databricks, Azure Data Factory, Data lake/warehouse technologies), Azure App Service (Function App, Web Service, API App), Tools (source control/issue management: Azure Dev Ops, Git, Jenkins, JIRA), Application Health‑check and Innovation. Design, build, and maintain scalable ETL/ELT pipelines.

    Implement robust data ingestion frameworks (batch and real‑time). Ensure pipeline reliability, performance, and observability. Design and maintain silver layer tables and views to support analytics and reporting. Dev Ops adoption designing and implementing applications for Data Integration in Azure cloud. Experience leading the execution across multiple technologies and projects. Demonstrated ability to design and develop applications with proficiency in Python, Java, Rust, and web‑based technologies such as HTML, CSS, JavaScript, React, and Angular.

    Experience with cross‑platform integration to ensure seamless communication and data exchange between diverse systems, applications, and technologies. Strong asset if you have experience with C#, Java, AI implementation, and experience integrating LLMs or AI tools into workflows.
  • You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision.
  • You act like an owner. You thrive when you’re empowered to take the lead, go above and beyond, and deliver results.
  • You understand that success is in the details. You notice things that others don’t. Your…
Position Requirements
10+ Years work experience
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