More jobs:
Job Description & How to Apply Below
Opportunity What’s the opportunity? The AI Group at RBC is building enterprise platform capabilities that help teams evaluate, govern, and scale AI systems safely across the bank. We are looking for a Principal Delivery Lead to support the AI Evaluation & Governance Platform, including our model and agent evaluation platform.
This platform helps teams evaluate AI models, agents, applications, prompts, tools, and runtime behavior through repeatable evaluation workflows, evidence capture, certification support, and ongoing monitoring. This is a technical delivery leadership role that works at the intersection of engineering, product, AI architecture, governance, risk, and platform teams to turn roadmap priorities into executable delivery plans.
Responsibilities Lead delivery execution for the AI Evaluation & Governance Platform.
Own delivery planning and execution tracking across key platform work streams. Translate roadmap priorities into delivery plans, milestones, dependencies, and measurable commitments.
Partner with engineering leaders to understand capacity, sequencing, delivery risks, and path-to-green.
Maintain explicit visibility into delivery health across build-time evaluations, runtime evaluations, evidence workflows, certification support, and platform integrations.
Create strong operating discipline without heavy process and establish a lightweight delivery rhythm across engineering, product, and stakeholder teams.
Support team-level execution while preserving engineering autonomy. Help teams use Agile, Scrum, Kanban, or hybrid delivery practices in a practical way that fits the work.
Drive clarity across who owns what, what is on track, what is at risk, and what needs leadership attention.
Own Jira discipline and delivery visibility:
Ensure Jira is the system of record for execution tracking. Partner with engineering teams to maintain clean epics, stories, owners, statuses, dependencies, milestones, and delivery dates. Make Jira useful for leadership reporting.
Manage dependencies, risks, and blockers:
Identify, track, and proactively manage cross-team dependencies. Surface delivery risks early and drive path-to-green discussions.
Coordinate across engineering, product, architecture, governance, risk, SRE, security, and partner platform teams; support leadership reporting and control book inputs.
Partner with Product Managers on the product narrative, roadmap context, and stakeholder impact.
Help Senior Directors and the VP of AI Architecture, Tools and Innovation maintain a clear view of delivery health.
Support scope trade-off conversations when timelines, resources, or priorities conflict. Help define MVP delivery plans in partnership with product and engineering.
Maintain a clear separation between product ownership and delivery ownership.
Qualifications Must-have:
Experience leading complex technical delivery across software engineering, platform engineering, AI/ML, data, cloud, or enterprise technology teams.
Strong technical program management, delivery management, or project leadership experience.
Ability to operate across engineering, product, architecture, risk, governance, and senior leadership stakeholders.
Experience using Jira or similar tools to manage epics, milestones, dependencies, delivery status, and reporting.
Strong understanding of software delivery life cycles, Agile delivery practices, dependency management, release planning, and risk tracking.
Ability to translate ambiguous goals into structured execution plans.
Strong written and verbal communication skills, including executive-ready status reporting.
Ability to identify risks early, drive clarity, and create practical path-to-green plans.
Technical depth:
Familiarity with AI, ML, GenAI, LLMs, agentic systems, or AI platform delivery.
Comfort working in a fast-moving AI platform environment where scope, dependencies, and priorities evolve.
Experience with AI governance, model risk management, responsible AI, AI evaluation, model validation, or regulated AI delivery (nice-to-have).
Experience with ML platforms, evaluation frameworks, observability platforms, CI/CD, data pipelines, or runtime monitoring.
Experience supporting…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×