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indeed

Lead Change Management Specialist

RBC
Toronto, CAN
Full Time
Lead
1 weeks ago
Change ManagementOrganizational Change ManagementStakeholder ManagementData LiteracyCommunicationAgile Delivery
Free

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Change ManagementOrganizational Change ManagementStakeholder Management
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What is the opportunity?

  • The Lead Change Management Specialist is a role within the DevOps & EA Business Office, reporting directly to the Senior Director.
  • This role owns the full Change Management mandate for the Business Office: enterprise change delivery for DevOps & EA initiatives, AI adoption telemetry, agentic readiness, and the AI champion network.
  • This is a permanent, senior individual contributor role operating with significant independence.

Change Delivery — DevOps & EA Initiatives

  • Own change management delivery for all qualifying DevOps & EA initiatives: change impact assessments, stakeholder plans, and communication execution.
  • Partner with the Director, PMO to sequence change activities into delivery schedules — readiness work is planned in from day one, not appended at go live.
  • Complete change readiness assessments for 100% of qualifying initiatives before major go lives; no go live proceeds without readiness clearance.
  • Manage adoption friction signals: track, action, and close within 10 business days for 80% or more of identified friction points.
  • Escalate stakeholder resistance or readiness gaps to the Senior Director immediately when they create delivery or financial risk.

AI Adoption Telemetry & Productivity Capacity Reporting

  • Own AI adoption telemetry for DevOps & EA: aggregate adoption signals, track friction points, and quantify capacity hours generated through AI enablement.
  • Submit telemetry backed capacity hours to Finance monthly, on cadence, for classification into the Productivity Capacity taxonomy — this feeds the CAD 200M savings trajectory directly.
  • Maintain the AI adoption signal log; surface patterns that indicate systemic barriers requiring senior leadership attention.
  • Partner with Finance to ensure capacity claims are evidence backed, taxonomy compliant, and reconciled quarterly — no theoretical benefits, no unsubstantiated hours.

Agentic Readiness Framework

  • Own the Agentic Readiness Framework: define human side readiness criteria and workflow change patterns required before AI agent deployment across DevOps & EA.
  • Deliver V1 of the Agentic Readiness Framework by Q3 FY26 — this is a hard program commitment tied to the AI SDLC enterprise rollout timeline.
  • Coordinate with the Director, PMO and Platform Integration lead to ensure agentic readiness criteria are embedded in delivery gates, not treated as a post deployment check.
  • Evolve the framework iteratively as agent deployment patterns mature across the enterprise — V1 is a foundation, not a final state.

AI Champion Network

  • Own and operate the AI champion network as a signal layer and connective tissue between DevOps & EA and the broader enterprise transformation.
  • Manage champion engagement cadence: enablement sessions, feedback loops, and network health.
  • Surface champion generated signals — adoption wins, friction patterns, capability gaps — into the telemetry report and the change delivery model.
  • Coordinate with enterprise change and talent stakeholders to align the champion network with the broader AI SDLC enterprise program design.

AI SDLC Enterprise Rollout — Change Track Ownership

  • Own the change management track for the AI SDLC enterprise rollout as the program transitions from the 12 week lab phase into Phase 2 (Readiness Gating & CM Hardening) and Phase 3 (Broader Enterprise Deployment).
  • Coordinate enterprise rollout planning in parallel with lab execution — change track does not wait for pilot completion.
  • Manage Phase 2 gate conditions: tools production ready, process shared across lines of business, Phase 1 Cohort identified, Scale up Playbook approved.
  • Lead Phase 3 objectives: achieve 100% enterprise adoption, activate training at scale, institutionalize AI SDLC as RBC's default delivery model.
  • Partner with HR, Talent, and Corporate Communications on enterprise scale people change components — role impact, training design, and leader led communications.

What do you need to succeed? Must have

  • 5+ years of change management experience in a technology or financial services environment, with demonstrated ownership of large scale, enterprise wide change programs.
  • Proven ability to manage change delivery independently — impact assessments, stakeholder plans, comms execution, and readiness gating — without requiring a senior lead to direct each activity.
  • Experience embedding change management into agile or iterative delivery models — not as a post launch add on.
  • Strong data literacy: ability to interpret adoption signals, quantify productivity capacity, and present evidence backed findings to finance and executive audiences.
  • Executive ready communication skills — written and verbal; able to represent the change management function in VP level forums independently.

Nice to have

  • Direct experience with AI adoption, AI enabled productivity programs, or developer tooling transformation in an enterprise context.
  • Familiarity with SDLC, software delivery, or technology platform change programs.
  • Experience operating within a regulated financial services environment (banking, insurance, capital markets).
  • Prosci ADKAR, CCMP, or equivalent change management certification.
  • Experience managing champion networks or practice communities as a structured change enablement mechanism.

What's in it for you?

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
  • Leaders who support your development through coaching and managing opportunities.
  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high performing team.
  • Opportunities to do challenging work.

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