AI Delivery Manager — Cross-Functional Project Lead

Ultimus Fund Solutions

Philadelphia (Philadelphia County)

On-site

USD 110,000 - 190,000

Full time

6 days ago
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Job summary

Ultimus Fund Solutions in Philadelphia seeks an AI Project Manager to own end-to-end delivery of enterprise AI initiatives. You will coordinate engineering, data science, and business leaders to align resources and mitigate risks, ensuring AI investments integrate into daily operations.

The role requires strong organizational leadership to handle complex technical logistics and drive execution across technology, operations, and business teams.

Qualifications

  • 5+ years of experience in technical project management, preferably data or software engineering.
  • Proven ability to drive cross-functional technical initiatives and deliver outcomes.
  • Strong understanding of machine learning lifecycles and AI infrastructure.
  • Ability to work with technical teams to clear roadblocks and manage timelines.
  • Experience in financial services or fund administration preferred but not required.
  • PM certifications (PMP/Agile) preferred.

Responsibilities

  • Manage end-to-end lifecycle of technical AI projects, ensuring on-time delivery.
  • Coordinate resources across engineering, data science, and business operations.
  • Identify and mitigate AI deployment risks, including data privacy and compliance.
  • Facilitate clear communication between developers and business stakeholders.
  • Establish KPIs tied to delivery speed, budget adherence, and handoffs.

Skills

Technical PM
Cross-functional leadership
AI lifecycle knowledge
Regulatory compliance
Data privacy

Job description

Ultimus Fund Solutions in Philadelphia seeks an AI Project Manager to own end-to-end delivery of enterprise AI initiatives. You will coordinate engineering, data science, and business leaders to align resources and mitigate risks, ensuring AI investments integrate into daily operations.

The role requires strong organizational leadership to handle complex technical logistics and drive execution across technology, operations, and business teams.

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