AI Technical Project Manager

ZipStaffBoston, MA
Onsite

About The Position

ZipStaff is seeking an AI Technical Project Manager to lead enterprise adoption of AI products and platforms at a major financial services organization in Boston. You will run Generative AI, Agentic AI, and ML programs across engineering, infrastructure, cyber, legal, compliance, risk, and vendors — with measurable value and tight governance. Generic PMs without AI delivery experience will not be a fit.

Requirements

  • 10+ years project or program management.
  • 3+ years leading GenAI and machine learning initiatives.
  • Strong working knowledge of Generative AI, Agentic AI, AI SDLC, cloud platforms, developer-productivity tools, and enterprise architecture.
  • Experience with Engineering, Cyber, Risk, Compliance, and Legal stakeholders.
  • Strong analysis, communication, and executive presentation.
  • Ability to work on-site in Boston, MA.
  • Must be legally authorized to work in the United States without sponsorship now or in the future.

Nice To Haves

  • GitHub Copilot, Azure AI Foundry, Claude Code , or similar enterprise AI tools.
  • Enterprise technology adoption and change management.
  • AI governance frameworks.
  • PMP (or equivalent).
  • GenAI certification (Microsoft, AWS, Google, Databricks, or equivalent) covering LLMs, agents, RAG, prompt engineering, enterprise AI architecture, security, and responsible AI.

Responsibilities

  • Lead end-to-end delivery of GenAI, Agentic AI, and ML initiatives.
  • Define scope, success metrics, milestones, schedules, budgets, and dependencies.
  • Run multiple concurrent AI workstreams (including developer productivity and legacy-code modernization).
  • Act as liaison among technology, control functions, legal, and vendors.
  • Brief senior management and executives.
  • Establish approved usage patterns, governance, and operating procedures.
  • Coordinate risk assessments, legal reviews, cyber evaluations, and compliance.
  • Partner with architecture and engineering on integrations, security, and platform work.
  • Facilitate technical design discussions and challenge weak assumptions.
  • Define KPIs; track utilization, productivity, cost, and ROI.
  • Build executive dashboards and adoption reporting.
  • Recommend expand / optimize / retire decisions based on value and usage.
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