Job Summary (List Format): AI Technical Project Manager
- Lead end-to-end delivery of AI initiatives, including Generative AI, Agentic AI, and Machine Learning projects.
- Define project scope, objectives, success metrics, milestones, and detailed delivery plans.
- Establish and manage project schedules, budgets, resources, and dependencies for multiple concurrent workstreams.
- Coordinate and drive execution across cross-functional teams (Software Development, Infrastructure, Cybersecurity, Legal, Compliance, Risk, Vendor Management).
- Proactively monitor project progress, manage risks, address blockers, and resolve issues.
- Build strong partnerships with Technology, Risk, Legal, Compliance, and Business teams.
- Manage stakeholder expectations, priorities, and competing demands; serve as the primary liaison among technology teams, control functions, legal, and vendors.
- Deliver clear and concise status updates and executive-level reporting to senior management.
- Establish AI governance standards, operating procedures, and ensure compliance with regulatory and internal frameworks.
- Coordinate risk assessments, legal reviews, cybersecurity evaluations, and compliance requirements for AI solutions.
- Facilitate technical design discussions; ensure alignment with enterprise architecture, cybersecurity, and infrastructure strategies.
- Define and track KPIs, productivity gains, cost optimization, and ROI for AI platforms.
- Build executive dashboards and adoption reporting to demonstrate business value.
- Recommend expansion, optimization, or retirement of AI capabilities based on business value and usage data.
- Required: 10+ years of project/program management, 3+ years leading Gen AI/ML projects, strong understanding of AI/ML, cloud, developer tools, and enterprise architecture.
- Strong analytical, communication, and executive presentation skills.
- Preferred: Experience with enterprise AI tools (GitHub Copilot, Azure Foundry, Claude Code), enterprise technology adoption, and AI governance frameworks.
- Certifications: PMP or equivalent; Generative AI certification from major cloud providers preferred.
- Success measured by: time-to-onboard new AI capabilities, growth in AI users, productivity/efficiency gains, compliance implementation, and demonstrated business value/ROI.
- Ideal candidate: Technically credible project manager who can confidently engage with technical and business stakeholders to drive enterprise-scale AI adoption.