Senior AI Project Manager

UniSysTech Consulting; Canada; On-site; CAD 120,000 - 170,000; Full time

Job summary

UniSysTech Consulting seeks an experienced Senior Project Manager - AI SDLC to lead enterprise-wide AI-enabled engineering initiatives, developer tooling, and AI workflows. You will align Software Engineering, Architecture, Information Security, Enterprise Risk, and Product teams to deliver measurable value.

Responsibilities include end-to-end delivery of AI SDLC workstreams, governance, and integration with CI/CD pipelines, while maintaining tight budgets and executive visibility through

Qualifications

• 7+ years leading large-scale enterprise technology transformations.
• Strong collaboration with software engineers, DevOps, and architects.
• Expert in Agile, Scrum, and hybrid delivery methods.
• Experience with risk controls, audit readiness, and security sign-offs.
• Proven ability to manage multi-million-dollar budgets and forecasting.
• Excellent executive communication and reporting skills.

Responsibilities

• Drive end-to-end delivery of AI SDLC workstreams with milestones and dependencies.
• Roll out generative AI developer tools and adoption benchmarks.
• Ensure AI capabilities align with governance, risk, and IP protection standards.
• Coordinate delivery across platform teams to embed AI tools within CI/CD pipelines and developer environments.
• Define transition frameworks from pilots to enterprise production.
• Manage project financials, vendor allocations, burn rates, and forecasting.
• Produce dashboards and steering committee briefs for leadership.

Skills

Project management

Agile & Scrum

Stakeholder management

Executive communication

Risk & governance

Financial forecasting

Hands-on AI/GenAI delivery

Financial services familiarity

DevOps ecosystem familiarity

Certifications: PMP/PMI-ACP/CSM/SAFe

Tools

GitHub Copilot

CI/CD pipelines

DevOps tooling

Job description

We are seeking an experienced Senior Project Manager - AI SDLC to lead the strategic rollout of enterprise-wide, AI-augmented engineering capabilities, developer tooling, and intelligent software engineering workflows. In this role, you will orchestrate the enterprise adoption of AI-driven capabilities - such as GitHub Copilot, specialized coding agents, telemetry/monitoring, and automated CI/CD guardrails. You will operate at the intersection of engineering excellence and institutional risk, aligning technical execution across Software Engineering, Architecture, Information Security, Enterprise Risk, and Product organizations.

Responsibilities

• Program & Delivery Execution: Drive end-to-end delivery of complex AI SDLC workstreams, establishing milestones, managing critical-path dependencies, and unblocking engineering teams across concurrent projects.
• AI Tooling & Workflow Enablement: Partner with platform and engineering leads to roll out generative AI developer tools (e.g., GitHub Copilot, custom LLM agents), establishing adoption benchmarks, rollout phases, and enablement strategies.
• Governance, Compliance & Security: Ensure AI capabilities integrate seamlessly with enterprise risk controls, regulatory requirements, IP protection standards, and model risk governance frameworks.
• DevOps & Platform Integration: Coordinate delivery across platform teams to embed AI-assisted tools within existing enterprise CI/CD pipelines, automated testing, and developer environments.
• Operational Readiness: Define transition frameworks to move AI tooling and telemetry from pilot phases to enterprise-wide production and sustained operational support.
• Financial Management & Forecasting: Manage project financials, vendor allocations, burn rates, and quarterly resource forecasting within the broader program portfolio.
• Executive Communication & Alignment: Produce data-driven progress dashboards, risk burndown reports, and steering committee briefings for executive leadership.

Qualifications

• 7+ years of progressive project management experience leading large-scale, complex enterprise technology transformations.
• Technical Fluency: Demonstrated background collaborating directly with software engineers, DevOps specialists, and enterprise architects in a modern cloud-first or platform engineering environment.
• Delivery Methodologies: Deep expertise in Agile, Scrum, and hybrid frameworks, with a proven track record of maintaining delivery velocity alongside rigorous governance standards.
• Governance & Risk Acumen: Strong experience navigating corporate risk controls, audit readiness, change management, and security sign-offs.
• Portfolio & Financial Tracking: Proficiency in managing multi-million-dollar technology budgets, forecasting, and resource capacity planning.
• Stakeholder Influence: Exceptional executive presence and conflict-resolution skills, capable of bridging conversations between deeply technical developers and business risk executives.

Preferred Qualifications

• Hands-on delivery experience with AI/GenAI software engineering initiatives, developer productivity platforms, or emerging tech rollouts (e.g., GitHub Copilot, Cursor, Tabnine, enterprise LLM toolchains).
• Background in Financial Services or similarly complex, heavily regulated environments (e.g., OSFI, FINRA, or ISO compliance frameworks).
• Familiarity with modern DevOps ecosystems (Git, automated testing frameworks, containerization, cloud platform engineering).
• Relevant certifications: PMP, PMI-ACP, CSM, or SAFe Agilist.