Senior Director, Applied AI and Quantum Research

CIBC

Toronto

Hybrid

CAD 210,000 - 320,000

Full time

5 days ago
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Job summary

CIBC is seeking a Senior Director, Applied AI and Quantum Research in Toronto to lead the enterprise research agenda across AI and quantum innovation. You will guide a high‑performing team of scientists, shape a strategic roadmap, and partner across lines of business, architecture, and governance to deliver production‑ready AI solutions.

You will champion responsible AI, foster external partnerships, and ensure alignment with regulatory expectations while driving scalable experimentation and

Qualifications

  • 10+ years of experience in AI technologies, AI solutions, and delivery.
  • 3+ years in leadership roles with responsibility for strategy, execution, and team development.
  • Degree in computer science, data science, mathematics, engineering, physics, or related field; advanced degree asset.
  • Deep knowledge of governance and risk practices, model risk management, and responsible deployment of AI/ML solutions.

Responsibilities

  • Lead the applied AI and quantum research roadmap for the enterprise, aligning priorities to business strategy and long‑term innovation opportunities.
  • Drive exploration of emerging capabilities across ML, generative AI, agentic systems, optimization, and quantum computing.
  • Establish structured research practices supporting high‑quality experimentation, benchmarking, and solution validation.
  • Partner with AI Delivery, Architecture, Technology, and MLOps to productionize research outputs and enable repeatable deployment.
  • Promote governance and Responsible AI aligned with Trustworthy AI principles and enterprise frameworks.
  • Build trusted relationships across business lines and external partners to accelerate innovation.

Skills

Big Data Technologies
Critical Thinking
Data Analysis
Data Manipulation
Data Visualization
Machine Learning
PL/SQL
Python
R Programming
Statistical Analysis

Tools

PL/SQL

Job description

What you’ll be doing

The Advanced Analytics and Artificial Intelligence team drive innovation across CIBC by exploring and applying emerging technologies that create meaningful business value. As the Senior Director, Applied AI and Quantum Research, you’ll lead the enterprise applied research agenda across artificial intelligence and quantum innovation, shaping how new technologies are evaluated, developed, and adopted responsibly. You’ll guide a high-performing team of research scientists, define a strategic roadmap aligned to business priorities, and build strong partnerships across lines of business, technology, architecture, MLOps, and governance teams. In this role, you’ll champion the translation of research into scalable, production-ready solutions, while promoting repeatable experimentation practices and strong governance. You’ll also help advance CIBC’s innovation capabilities by identifying emerging trends, strengthening external partnerships, and ensuring research initiatives align with regulatory expectations and enterprise standards.


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 2-4 days per week on-site, while other days will be remote.


How you’ll succeed


  • Research Strategy & Innovation Leadership - Lead the applied AI and quantum research roadmap for the enterprise, aligning research priorities to business strategy, delivery goals, and long-term innovation opportunities. Drive exploration of emerging capabilities across machine learning, generative artificial intelligence, agentic systems, optimization, quantum computing, and related technologies. Scientific Excellence & Experimentation - Establish and oversee structured research practices that support high-quality experimentation, benchmarking, and solution validation. Ensure research initiatives are grounded in sound data, clear assumptions, meaningful performance measures, and robust evaluations of fit-for-purpose outcomes.


  • Research-to-Production Enablement - Partner with AI Delivery, Architecture, Technology, and MLOps teams to ensure research outputs can be replicated, operationalized, and monitored effectively in production environments. Implement repeatable frameworks for experimentation, deployment, continuous improvement, and documentation.


  • Governance, Risk & Responsible AI - Promote Responsible AI practices and a Governed AI by Design approach aligned with CIBC’s Trustworthy AI principles. Ensure adherence to enterprise governance frameworks, model risk management requirements, applicable controls, and relevant regulatory expectations, including Office of the Superintendent of Financial Institutions (OSFI) guidance.


  • Partnerships & Enterprise Influence - Build trusted relationships across lines of business, governance teams, and external partners to accelerate innovation and encourage adoption of research outcomes. Collaborate with executives, academic institutions, industry partners, and vendors to develop proprietary solutions, strengthen enterprise capabilities, and bring new ideas into the organization.


  • People Leadership - Lead, coach, and develop a high-performing team of applied research scientists through clear direction, meaningful feedback, and development opportunities. Build team capability, support an inclusive and high-accountability culture, and align individual contributions to business goals and client outcomes.



Who you are


  • You are a caring and accountable leader. You have experience developing and implementing strategic team goals. You have experience coaching employees and inspiring successful team performance.


  • You can demonstrate experience in applied artificial intelligence, machine learning, generative artificial intelligence, governance, and research-to-production delivery in complex enterprise environments. It’s an asset if you have experience with quantum computing, quantum algorithms, financial services, or enterprise-scale MLOps practices.


  • You have relevant experience. You bring 10+ years of experience in AI technologies, AI solutions, and delivery, including at least 3 years in leadership roles with responsibility for strategy, execution, and team development.


  • You have deep knowledge of governance and risk practices. You understand model risk management principles and have hands-on experience implementing controls that support regulatory compliance, enterprise AI governance, and responsible deployment of AI and machine learning solutions.


  • Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.


  • You think strategically and act with purpose. You bring strong business, financial, and strategic planning capabilities, while staying comfortable moving into tactical execution when needed to deliver results.


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


  • You communicate with impact. You can present complex concepts clearly, build understanding across technical and non-technical audiences, and adapt your message to meet the needs of executives, partners, and stakeholders.


  • You know how to navigate complexity. You have strong organizational, conceptual, and critical thinking skills, and you can balance innovation, risk, business priorities, employee development, and budget considerations in a fast-moving environment.


  • You’re passionate about people. You find meaning in relationships and surround yourself with a diverse network of partners. You connect with others through respect and authenticity.


  • You have a degree /diploma in computer science, data science, mathematics, engineering, physics, or a related field. An advanced degree is an asset.


  • 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


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


  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re 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).


  • We use artificial intelligence tools during the recruitment process. 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, 21st Floor


Employment Type

Regular


Weekly Hours

37.5


Skills

Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Visualization, Machine Learning (ML), PL/SQL (Programming Language), Python (Programming Language), R Programming, Statistical Analysis

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