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indeed

Manager, Operations Process Engineering

RBC
Toronto, CAN
Full-time
Onsite
Discovered 1 months ago
Process re-engineeringRoot cause analysisProcess mapping and designValue stream analysisLean Six SigmaAI and GenAI opportunity assessment

Full Job Posting

Opportunity

Act as a lead and critical contributor to Technology & Enterprise Operations transformation programs across Cash Services, Payments & Trade, and Finance Shared Services Operations.

The team analyzes current operations, identifies re-engineering and AI/automation opportunities, develops business cases, and designs future processes to improve efficiency, productivity, digitization, and risk reduction.

Process engineering and delivery

  • Conduct current-state process diagnostics and root cause analysis; identify and document re-engineering, automation, and AI opportunities with business rationale and impact potential.
  • Map current and future processes at end-to-end and detailed step-by-step levels.
  • Assess AI, GenAI, RPA, and workflow automation opportunities for feasibility and scalability; support business cases and ROI analysis.
  • Design future-state processes and document process logic, business requirements, and capabilities.
  • Collaborate in cross-functional redesign, solutioning, and feasibility sessions.
  • Build working relationships with operations subject matter experts, process owners, IT, Data, and Risk.
  • Communicate findings and recommendations, facilitate workshops and design sessions, gather requirements, and validate solutions.
  • Identify and escalate risks, dependencies, and compliance considerations to the Senior Manager for governance review.

Required qualifications

  • Bachelor's or Master's degree in Industrial Engineering, Business, Innovation, Technology Management, or a related field.
  • At least three years of experience in process improvement and IT transformation.
  • Deep understanding of process design, mapping, value stream analysis, and Lean Six Sigma.
  • Ability to create comprehensive process documentation, design specifications, and work products to enterprise standards.
  • 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 for business case development and strong PowerPoint presentation skills.
  • Self-motivation in a dynamic, fast-paced environment; structured problem-solving, curiosity, and critical thinking.

Nice to have

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

Job details

  • Full-time regular role with 37.5 work hours per week.
  • Posted date is September 29, 2026; application deadline is October 14, 2026.

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