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 at work. Our 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 CIBC.com

What you’ll be doing

As a member of the Enterprise AI Platforms and Solutions department, you’ll play a pivotal role in driving the operational leadership and execution of AI enablement initiatives across CIBC. As the Senior Director, AI Enablement, you’ll lead the delivery, integration, and scaling of generative AI solutions, ensuring operational excellence and the highest standards of governance and risk management. You’ll translate strategic objectives into actionable operational plans, optimize processes, and manage multiple concurrent projects to deliver measurable business value. You’ll also foster strong stakeholder engagement and support CIBC’s growth and innovation agenda.

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 1-3 days per week on-site, while other days will be remote. 

How you’ll succeed

Leadership and Collaboration – Lead, mentor, and develop a team of professionals, fostering a collaborative and high-performance culture.  Set clear objectives, provide regular feedback, and support professional growth and development. Collaborate with LOB leaders to identify, prioritize, and operationalize AI solutions tailored to their unique business requirements. Partner closely with the AI Change Management function to support the rollout, adoption, and enablement of CIBC AI across all employee groups.

Innovation and Continuous Improvement – Oversee day-to-day operations of the AI Enablement function, ensuring efficient execution of initiatives and projects. Establish, monitor, and report on operational KPIs to drive accountability, transparency, and ongoing enhancements. Oversee the operational delivery and continuous improvement of CIBC AI, the enterprise GenAI productivity platform. Serve as the primary operational lead for enabling business partners to leverage CIBC AI for LOB-specific use cases.

Stakeholder Management – Act as the primary operational liaison with business, technology, risk, and vendor partners, presenting progress and outcomes to executive leadership. Guide business partners in leveraging AI solutions for their unique needs, ensuring alignment with business objectives and operational requirements. Collaborate with technology and product teams to ensure the platform remains secure, reliable, and responsive to evolving business needs.

Ensure Compliance and Governance – Ensure all operational activities comply with CIBC policies, standards, and regulatory requirements, and support vendor assessments and procurement processes.

Business Transformation and Delivery- Oversee the delivery of LOB-specific AI projects, ensuring alignment with business objectives and operational needs. Facilitate workshops and discovery sessions to identify high-impact opportunities for AI-driven transformation within each LOB. Ensure solutions comply with enterprise governance, risk, and compliance standards. Define and track success metrics for AI initiatives, demonstrating business value and impact. Share insights, lessons learned, and best practices across LOBs to accelerate adoption and maximize return on investment

Who you are

You can demonstrate experience in operational leadership within technology, AI enablement, or digital transformation environments. You have strong knowledge of generative AI concepts, platforms, and responsible AI practices, including governance and risk management. You have demonstrated ability to manage and deliver complex, multi-project portfolios in a fast-paced, matrixed organization. 

You have expertise in leading, mentoring, and developing high-performing teams, with a focus on talent management and succession planning.  You have advanced stakeholder management skills, with the ability to build strong partnerships across business, technology, and vendor groups.

You have a degree/diploma in Computer Science, Data Science, Engineering, Business, or a related field; Master’s degree preferred. You can demonstrate deep understanding of enterprise governance, compliance, and regulatory requirements related to AI and technology solutions.

You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.

Values matter to you. You bring your real self to work and you live our values – trust, teamwork, and accountability.

 #LITA

What you need to know

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 Mailbox.careers-carrieres@cibc.com

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 tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 16th Floor

Employment Type

Regular

Weekly Hours

37.5

Primary Recruiter

Neha Shetty

Skills

Artificial Intelligence (AI), Artificial Intelligence Algorithms, Artificial Intelligence Technologies, Cloud Applications, Cloud Computing, Cloud DevOps, Cloud Infrastructure, Data Quality, Data Security, Infrastructure As Code (IaC), Infrastructure Engineering, Microsoft Azure Cloud Services