Engagement Manager, RPA

Greenlight helps organizations solve complex business challenges through intelligent automation agentic AI and custom technology solutions. Our teams work directly with clients to understand their operations identify opportunities and rapidly build solutions that create measurable business value. We combine deep consulting expertise with hands-on engineering to bridge the gap between strategy and execution.

Were building a future where consultants and engineers work alongside AI to deliver faster outcomes stronger businesses and transformative customer experiences. We run AI-assisted delivery as standard from discovery through documentation to quality assurance and this role operates in an environment where Anthropics Claude is embedded in how we work not treated as a future state.

What makes a star at Greenlight

• Commercially sharp and client-obsessed you measure success by what the client achieved not what was delivered
• Calm in complexity you manage multiple engagements competing priorities and difficult conversations without losing composure or thread
• Fluent across the room as credible with an executive sponsor as you are with a developer debugging an agent workflow
• AI-forward you understand enough about how intelligent automation works to lead it defend it and sell its value without needing a translator
• Ownership mindset the engagement is yours; you dont wait for problems to surface you find them first

The Role

This is the accountability seat on every Greenlight engagement. The AI Engagement Manager owns the client relationship the commercial track and the delivery cadence - across AI and automation projects running on tight high-output cycles.

Engagements operate with an AI Automation Business Consultant who owns process discovery AI logic design and technical specification alongside an Automation Engineer who owns the build. This role sits above both as the commercial and relational anchor keeping the engagement on track the client confident and the value visible.

This means the role requires AI and automation fluency to have credible conversations about what is being built how long it should take and what the business outcome looks like - without needing the consultant or engineer to translate. You do not build the solution. But you need to understand it well enough to own it in the room.

At a Glance

Reports To	Director Project Delivery & Strategy
Works Closely With	Automation Business Consultant Automation Engineers Client Stakeholders Vendor Partners
Client Interaction	Executive sponsors business leads project steering vendor partners
Portfolio	34 concurrent engagements (36 month delivery cycles)
Platform Focus	UiPath Microsoft Power Platform Anthropic Claude / AI Agents
Seniority	Mid-to-Senior (58 years relevant experience)
Location	Onshore Canada - GTA preferred
Engagement Type	Hybrid Office - client-facing with occasional travel

What Youll Do

Client Relationship & Commercial Governance

• Serve as the primary client contact from kickoff through post-delivery review the face of the engagement at every stage
• Build trusted relationships with executive sponsors business leads and key stakeholders read the room sense shifts in confidence and act before they become delivery risks
• Own scope management and change control identify creep early facilitate commercial conversations around change with clarity and protect margin without damaging the relationship
• Lead difficult conversations: expectation resets delay communications scope disputes directly calmly and without escalating to leadership by default
• Maintain commercial awareness across your portfolio; flag risks to margin timeline or client satisfaction before they surface in a steering call

AI & Automation Delivery Oversight

• Understand what is being built on every engagement the automation logic the AI agent behaviour the integration points well enough to represent it accurately to a client executive
• Track delivery against the Week 0-to-go-live cadence: readiness confirmed before kickoff discovery completed in Week 1 SDD validated before build test cases parallel with Sprint 1
• Identify when the delivery thread is at risk slow discovery SDD delays build blockers UAT gaps and drive resolution before it affects the timeline
• Maintain the RAID log delivery schedule and status reporting to client stakeholders governance that is current honest and actionable not performative
• Manage competing priorities across 34 concurrent engagements without losing thread or dropping client confidence

Pod Leadership & Team Enablement

• Create the conditions for the Automation Business Consultant and Engineer(s) to do their best work: resolved blockers aligned stakeholders clear scope no unnecessary noise
• Review Consultant deliverables PDDs agent specs SDD sign-offs for quality and alignment with client expectations before they go to the client
• Coach the consultant through complex stakeholder sessions and difficult discovery conversations your experience in the room is a resource not a rank
• Manage resource capacity and flag resourcing risks early dont let a build slow down because of a preventable resource constraint

Value Realization & Reporting

• Proactively track whether clients are realizing expected automation and AI value report against agreed KPIs and business outcomes not just delivery milestones
• Lead go-live communications confidence management and post-delivery debriefs close every engagement with the client seeing what was delivered and what it was worth
• Identify expansion opportunities within active accounts process gaps adjacent automation candidates AI use cases the client hasnt named yet and surface them to the account team

What Were Looking For

Essential Experience

• 58 years in a delivery project management or client-facing consulting role within technology automation AI and RPA development projects strongly preferred
• Proven track record managing short-cycle software delivery projects (36 months) end-to-end across a portfolio of concurrent engagements
• Direct exposure to AI or automation project delivery you understand what an LLM-based agent or RPA build involves the risks that are specific to these projects and how to talk about them with a client
• Experience managing executive and senior stakeholder relationships including difficult commercial conversations and expectation management
• Background in a consulting managed services with experience delivering AI or agentic automation projects
• Track record of managing scope change orders and commercial conversations in a professional services or managed services environment
• Agile delivery sprint planning backlog prioritisation retrospectives; comfortable running a cadence without a dedicated Scrum Master

Skills & Competencies

• Commercial acumen you understand project economics margin scope risk and value-based delivery; you protect both the client relationship and Greenlights position
• AI and automation fluency not an engineer but not a stranger to the technology; you can discuss agent logic LLM outputs and automation architecture with enough credibility to hold a client room
• Political intelligence you read room dynamics sense wavering confidence and act before issues escalate
• Clear confident communicator you simplify complex technical and commercial topics without losing accuracy for either audience
• Calm under pressure you de-escalate not amplify; clients feel steadier after talking to you not more anxious
• Organised across complexity managing 34 concurrent projects with different clients consultants and build stages without losing thread

What Great Looks Like in This Role

The standard we are hiring to: They know the delivery status before the status call and the clients mood before the client says anything. They understand what the consultant is building well enough to defend the timeline and scope in the same breath. When something goes sideways theyre already in motion not writing an update not waiting for the team to surface it. They run a portfolio of concurrent engagements with the same composure they bring to one. And they leave every client at go-live feeling like they got more than they paid for.

Our Process & Practices

Use of AI in Hiring

We use AI tools to support parts of our recruitment things like organizing applications and flagging relevant experience. These tools inform our process they dont drive it. Every hiring decision is made by our team full stop.

Compensation
The expected salary range for this role is $110000 $130000 CAD Currency annually based on experience and qualifications. Were happy to discuss further in conversation.

Equal Opportunity
Greenlight is an equal opportunity employer. We believe in fair consideration for all candidates regardless of ethnicity culture sexual orientation religion age gender or disability status.

Great Place to Work
Greenlight is a certified Great Place to Work 98% score. Were proud of that and we work every day to keep earning it.

Required Experience:

Manager

Employment Type : Full Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 110000 - 130000