Posted 3 days ago
Senior AI Project Manager
@ UniSysTech Consulting
Toronto, Ontario
Overview
UniSysTech Consulting is hiring a Senior Project Manager for AI SDLC to lead the enterprise rollout of AI-augmented engineering tools such as GitHub Copilot and custom coding agents. The role covers end-to-end delivery, governance and risk alignment, financial forecasting and executive reporting.
Responsibilities:
- Drive end-to-end delivery of AI SDLC workstreams
- Roll out generative AI developer tools with platform leads
- Ensure AI capabilities meet enterprise risk and regulatory controls
- Coordinate embedding AI tools in CI/CD pipelines
- Manage project financials and quarterly resource forecasts
Requirements summary:
- 7+ years progressive project management on large enterprise transformations
- Technical fluency with engineers and DevOps in cloud-first environments
- Deep Agile, Scrum or hybrid delivery expertise
- Governance, audit and security sign-off experience
- Management of multi-million-dollar technology budgets
- Executive presence and conflict-resolution skills
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-10
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Project management |
| Experience | 7+ years |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Licences & certifications | PMP, PMI-ACP, CSM, SAFe Agilist |
Summary and details written by AI from the posting; the employer’s posting is the authority.
UniSysTech Consulting
| Field | Value |
|---|---|
| Open jobs on Jobsy | 7 |
Position Overview: Senior Project Manager - AI SDLC
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.
Journal
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