Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Business Management, Strategy & Support
Pay Details:
$91,900 - $136,800 CAD
The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Job Description:
The Manager, AI and Automation Initiatives supports the planning, coordination, and delivery of high-priority automation and AI-enabled transformation initiatives across CPB COO and Operations (BECS). The Manager works closely with business, technology, risk, governance, and delivery partners to help translate strategic objectives into executable MVP scope, delivery plans, and measurable business outcomes.
The Manager provides strong execution support across scope definition, requirements alignment, stakeholder coordination, benefit realization tracking, and governance readiness. This role helps ensure AI and automation initiatives remain focused on practical use cases, operational value, delivery feasibility, and alignment to enterprise standards.
The Manager demonstrates strong business acumen, critical thinking, structured problem solving, and the ability to operate effectively through ambiguity while supporting cross-functional teams through iterative MVP delivery.
Job Accountabilities:
- Supports the planning, coordination, and execution of AI and automation initiatives across CPB COO and Operations, including BECS
- Partners with business, technology, risk, governance, and operational stakeholders to translate strategic priorities into executable MVP scope and delivery plans
- Supports the definition, refinement, and validation of use cases to ensure alignment to business value, operational feasibility, and delivery readiness
- Helps assess and prioritize automation opportunities based on process complexity, control requirements, technology fit, implementation effort, and expected benefits
- Coordinates cross-functional working sessions to drive clarity on requirements, dependencies, assumptions, decisions, risks, and open questions
- Supports the development and maintenance of initiative roadmaps, MVP sequencing, and fast-follow release considerations
- Tracks delivery progress, key milestones, scope changes, risks, issues, and dependencies to support transparent reporting and proactive escalation
- Develops clear, concise, and executive-ready materials, including status updates, decision summaries, briefing notes, meeting materials, and stakeholder communications
- Supports benefit realization planning by helping define success criteria, operational metrics, baseline assumptions, and value tracking mechanisms
- Works with business and operational teams to understand current-state processes, pain points, manual effort, control considerations, and opportunities for simplification
- Partners with technology and platform teams to assess solution options, implementation constraints, integration needs, and scalability considerations
- Supports alignment to enterprise governance, risk, privacy, model risk, operational risk, and change management expectations applicable to AI and automation delivery
- Helps ensure solutions are designed with appropriate consideration for control effectiveness, operational resilience, auditability, and sustainable ownership
- Connects the dots across business, technology, governance, and delivery teams to reduce ambiguity, duplication, and rework
- Identifies, documents, and manages key decisions, trade-offs, delivery risks, and stakeholder impacts throughout the MVP lifecycle
- Supports Product Owners, delivery leads, and business sponsors with backlog refinement, prioritization, sprint or increment planning, and readiness activities
- Provides structured analysis and recommendations to support informed decision-making by senior leaders
- Maintains strong relationships across stakeholder groups and promotes clear accountability, transparency, and collaborative ways of working
- Supports change readiness by partnering with impacted business areas to understand adoption needs, operational impacts, training considerations, and transition requirements
- Contributes to the development of repeatable practices, templates, playbooks, and delivery standards for AI and automation initiatives
- Demonstrates flexibility to support multiple workstreams, working groups, or Pods as priorities evolve
- Provides coaching, guidance, and day-to-day support to analysts, delivery partners, and working team members as required
- Operates with urgency, ownership, and sound judgment in a complex, fast-paced transformation environment
Additional Information:
- Minimum 5-7 years of experience supporting large, complex transformation programs, preferably within financial services, banking, operations, risk, or technology delivery environments
- Experience supporting AI, automation, workflow digitization, process optimization, or technology-enabled business transformation initiatives is strongly preferred
- Experience with CPB, COO, Operations, BECS, KYC, AML, control testing, monitoring, or regulatory transformation initiatives is an asset
- Strong understanding of MVP delivery, iterative release planning, business case alignment, benefit realization, and delivery trade-off management
- Demonstrated ability to translate complex business problems into structured scope, requirements, options, recommendations, and executable plans
- Strong stakeholder management skills with the ability to engage and influence across business, technology, risk, governance, and senior leadership groups
- Excellent written and verbal communication skills, including the ability to develop executive-ready materials and synthesize complex information clearly and concisely
- Experience working with Agile, SAFe, hybrid, or waterfall delivery methodologies, including backlog refinement, sprint or increment planning, and delivery governance
- Ability to operate effectively in ambiguity, manage competing priorities, and drive clarity in a fast-paced environment
- Familiarity with enterprise risk, operational risk, model risk, privacy, change management, and technology governance considerations is an asset
- Experience working with automation platforms, AI-enabled solutions, workflow tools, data-driven monitoring, or control automation capabilities is an asset
- PMP, CBAP, SAFe, Agile, Lean Six Sigma, or related certifications are considered assets
- Demonstrated ability to build strong relationships, promote collaboration, and support teams through change
- Ability to support multiple workstreams or initiatives simultaneously while maintaining strong attention to detail and delivery discipline
Language Requirement (Quebec only):
Sans Objet
