100 King Street West Toronto Ontario,M5X 1A1

Director, Operations – Process, AI Strategy, Execution & Delivery

**Location:**Toronto, ON (Hybrid)
**Role Type:**Full-Time
**Reports to:**Senior Operations / Transformation Leadership

Role Summary

The Director, Operations – Process, AI Strategy, Execution & Delivery leads the governed execution and operationalization of AI-enabled transformation across middle office and back office functions apart from re-imagining / simplification of processes. This role translates enterprise AI strategy intosimplified, reimagined, secure, compliant, and scalable operating modelsthat improve efficiency, strengthen control environments, and deliver measurable business value.

A core requirement of this role is the ability tosimplify complex processes, reimagine operating models, and redesign workflows before automation. The successful candidate will combine deep operations expertise with AI execution leadership to ensure Generative AI, Copilots, and Robotic Process Automation (RPA) are embedded intofit‑for‑purposeprocesses that enable adoption, sustainability, and trust.

This is a hybrid role based in Toronto, with regular in-office collaboration.

Key Responsibilities

AI Strategy Execution & Operational Delivery

• Lead end-to-end execution of AI, GenAI, Copilot, and RPA initiatives across middle and back office operations.
• Translate enterprise AI strategy intosimplified execution roadmaps, target operating models, and delivery plans.
• Drive AI solutions from concept and pilot through production-ready, enterprise-scale deployment.
• Deliver measurable outcomes including productivity gains, cycle-time reduction, error reduction, and capacity creation.

Process Simplification, Reimagining and Core Accountability

• Leadprocess simplification and reimagininginitiatives as a prerequisite to AI and automation enablement.
• Deconstruct complex, fragmented, or control-heavy workflows intostandardized, streamlined, and automation-ready processes.
• Challenge legacy operating assumptions and redesign workflows to optimize forstraight-through processing, exception-based handling, and AI augmentation.
• Design future-state processes that balance automation, human judgment, risk controls, and scalability.

Process Transformation (Middle & Back Office)

• Partner with operations leaders to assess, redesign, and standardize end-to-end processes using lean, design thinking, and AI-first principles.
• Apply GenAI and automation to transaction-heavy, exception-driven, and judgment-assisted workflows.
• Ensure AI is embedded into day-to-day operational execution, supported by clear roles, decision rights, andhuman-in-the-loop controls.
• Align process design with data availability, model capabilities, and control requirements.

Governance, Risk, Compliance & Security

• Establish and operate AI governance frameworks, including lifecycle management, approvals, and performance monitoring.
• Ensure redesigned processes and AI-enabled workflows comply with regulatory requirements, internal policies, data privacy, and records management standards.
• Partner with Risk, Compliance, Audit, Privacy, Legal, and Security teams to proactively embed controls into reimagined AI-enabled processes.
• Ensure AI solutions are secure, explainable, auditable, and defensible.

Operational Performance & Value Realization

• Define and monitor success metrics such as MTTR, cost savings, error reduction, automation rates, SLA adherence, and productivity uplift.
• Establish value realization tracking tied toprocess simplification, control reduction, and operating leverage, not just model performance.
• Partner with data teams to define data quality standards, governance, and operational telemetry.
• Implement closed-loop feedback mechanisms to continuously improve both AI modelsand underlying processes.

Execution Governance & Leadership

• Establish disciplined execution frameworks, delivery cadence, risk management, and dependency tracking.
• Lead and develop senior managers and cross-functional teams spanning operations, technology, data, and risk.
• Influence outcomes across data science, engineering, and business teams, often without direct authority.
• Drive adoption through change management, workforce enablement, and capability uplift tied to new ways of working.

Experience & Qualifications (Refined)

• 10+ years of experience in AI/ML strategy, intelligent automation,process transformation, operations management, or management consulting, preferably in regulated or control-intensive environments.
• Demonstrated successsimplifying and reimagining complex processesprior to or alongside AI and automation deployment.
• Proven delivery of enterprise-scale AI, GenAI, RPA, or automation initiatives.
• Strong understanding of Generative AI, LLMs, agentic workflows, intelligent assistance patterns, and MLOps.
• Experience designing target operating models and future-state workflows enabled by AI.
• Familiarity with cloud-based AI platforms (Azure preferred) and data visualization tools.
• Bachelor’s or Master’s degree in Business, Computer Science, Engineering, or a related field.
• Proven executive communication, storytelling, and stakeholder management skills.

Salary:

$121,600.00 - $211,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.