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Manager, Operations Process Engineering

RBC
Toronto, CAN
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Process design and mappingProcess improvementValue stream analysisLean Six SigmaProcess re-engineeringGenerative AI

Full Job Posting

Role overview

Lead and contribute to Technology & Enterprise Operations transformation programs.

Focus on Cash Services, Payments & Trade, and Finance Shared Services Operations.

Improve efficiency, productivity, digitization, and risk reduction through process redesign and automation.

Process analysis and redesign

  • Conduct current-state diagnostics and root-cause analysis.
  • Identify re-engineering, automation, and AI opportunities and document their rationale and potential impact.
  • Map current and future processes from end-to-end flows to detailed steps.
  • Assess AI, GenAI, RPA, and workflow automation opportunities for feasibility and scalability.
  • Support business cases and ROI analysis.
  • Design future processes and document process logic, business requirements, and capabilities.

Delivery and stakeholder engagement

  • Collaborate in cross-functional redesign, solutioning, and feasibility sessions.
  • Build relationships with operations SMEs, process owners, IT, Data, and Risk.
  • Communicate findings and recommendations and participate in workshops to gather requirements and validate solutions.
  • Identify and escalate risks, dependencies, and compliance considerations for governance review.

Required qualifications

  • Bachelor’s or Master’s degree in Industrial Engineering, Business, Innovation, Technology Management, or a related field.
  • 3+ years of experience in process improvement and IT transformation.
  • Deep understanding of process design, mapping, value stream analysis, and Lean Six Sigma.
  • Ability to produce comprehensive process documentation, design specifications, and enterprise-standard work products.
  • Strong communication and cross-functional meeting facilitation skills.
  • Interest in and basic understanding of Generative AI, Agentic AI, machine learning, and RPA.
  • Intermediate data-analysis proficiency and strong PowerPoint skills.
  • Self-motivation, structured problem-solving, curiosity, and critical thinking.

Preferred qualifications

  • Process improvement certification in Lean, Six Sigma, or equivalent is an asset.
  • Product Ownership and/or SDLC/AI-DLC experience or knowledge is an asset.
  • Familiarity with Financial Services Operations is an asset.

Compensation and benefits

  • The posting describes salaried pay but does not provide a salary amount or pay cadence.
  • Benefits include a total rewards program, flexible benefits, and development opportunities.

Schedule

  • The listed work week is 37.5 hours.

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