Lead Change Management Specialist

RBC • Toronto, ON

1d • Onsite

About The Position

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. The Senior Manager leads change management strategy and execution across a complex, fast-moving technology transformation environment — including the enterprise rollout of AI-enabled software delivery — and serves as the primary change partner to PMO, Finance, and Platform Integration.

Requirements

• 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 Haves

• 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

Responsibilities

• 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
• 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 $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
• 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
• 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
• 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

Benefits

• bonuses
• flexible benefits
• competitive compensation
• commissions
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed