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 build 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 behaviors and to optimize 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 DevOps, 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. DevOps 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 critical thinking skills help to inform your decision making. - You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do. - Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.  What CIBC Offers At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck. - We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program. - Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients. - We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development. *Subject to plan and program terms and conditions Job Location Toronto-81 Bay, 15th Floor Employment Type Regular Weekly Hours 37.5 Skills Apache Kafka, Architecture Strategy, Azure Data Lake, Capital Markets Technology, Data Analysis, Data Insights, Design, Microsoft Azure Databricks, Python (Programming Language), Real Time Data, Real Time Streaming, SQL Databases, Vectorization