* **Technical Leadership and Contribution**: Translate strategic capability roadmaps into actionable technical deliverables, including the design and implementation of CI/CD pipelines, end-to-end MLOps workflows, and automated ML pipelines for data ingestion, training, validation, and deployment. Ensure workflows are compliant with regulatory and enterprise governance requirements, including approval gates, automated monitoring and alerts and audit ready processes. Oversee the development of enterprise-grade, production-ready, and standardized MLOps capabilities to support scalable and reliable AI delivery across the organization. Setting and communicating best practices and guidelines to ensure consistency and high quality delivery* **Stakeholder Management and Collaboration**: Build strong relationships and collaborate with business partners, technology teams, and cross-functional stakeholders to gather requirements, prioritize initiatives, and align MLOps solutions with business objectives. Partner with AI governance, Compliance, teams to ensure all solutions adhere to regulatory and internal standards. Participate in code reviews, identify updates to and the need for new documentation and share best practices. Stay current with emerging AI/ML tools and techniques, actively contribute to a culture of experimentation and continuous improvement. Advise on the MLOps strategy and capability roadmap based on stakeholder feedback and emerging needs. Act as the primary point of contact for business and technical stakeholders regarding MLOps delivery.* **People & Culture**: Champion a culture of innovation, collaboration and continuous learning within the MLOps team and across the enterprise. Upskill and mentor cross-functional teams on MLOps tools, frameworks, and best practices. Exhibits strong influencing, negotiation, and conflict resolution skills, with the ability to align diverse stakeholders around common goals.* **You can demonstrate 8+ years of experience** in software engineering, data platforms, or MLOps, with at least 2 years in a leadership role. Proven track record delivering scalable ML platforms in a highly regulated environment. Its an asset if you have experience in financial services or other regulated industries.* **You are have relevant knowledge.** Deep expertise with cloud-native architectures and technologies (e.g., Azure ML, Databricks, Kubernetes). Expertise with CI/CD, monitoring, model governance, and observability frameworks. Its an asset if you have familiarity with responsible AI practices and model interpretability techniques.* **Youre driven by collective success.**You have experience partnering with model risk, audit, and data governance teams.* **You have a relevant degree/diploma.** Degree in Computer Science, Statistics, Engineering, or a related field.* **Values matter to you.**You bring your real self to work and you live our values - trust, teamwork, and accountability.* 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.* CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]* CIBC is committed to clarity in our hiring process. All roles posted are opportunities were actively recruiting for, unless stated otherwise.* You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.* We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values: Trust, Teamwork and Accountability. Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel. Every day, our 44,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us. #J-18808-Ljbffr
Job Title
Director, Enterprise Machine Learning Frameworks & Operations