Manager, Operations Process Engineering
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.
Key Skills for This Role
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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