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Technology Project Manager
Company | ICONIQ Capital |
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Location | New York, NY, USA |
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Salary | $120000 – $140000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Mid Level |
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Requirements
- Bachelor’s degree required; strong academic background preferred
- 3+ years of technical project management experience, preferably within financial services or related industries
- Strong understanding of technology systems, software development lifecycles, and project methodologies (e.g., Agile, Scrum, Kanban, Waterfall)
- Exceptional communication, organizational, and stakeholder management skills
- Proactive and solutions-oriented, with a strong attention to detail
- Ability to adapt quickly and lead in dynamic, fast-paced environments
Responsibilities
- Leverage AI platforms (e.g., ChatGPT Enterprise, Microsoft Copilot, etc.) and design intelligent workflows and reduce manual overhead and identify, evaluate, and pilot AI-driven tools or techniques that could improve project outcomes or team productivity
- Collaborate across product, engineering, data, and business teams to deliver impactful solutions in an agile environment and act as a trusted partner to stakeholders ensuring timely updates, well-managed expectations & resolution of challenges
- Foster a culture of innovation, encouraging the use of emerging technologies including AI and automation to enhance project delivery and operational efficiency
- Develop and maintain dashboards and reporting using AI or BI tools to surface insights, support data-driven decision-making, and track project ROI and resourcing
- Drive a culture of experimentation by introducing scalable AI use cases and supporting adoption across functional teams
- Lead strategic and operational initiatives that may extend beyond conventional project scopes
- Support backlog grooming and roadmap definition, while helping set and maintain priorities
Preferred Qualifications
- Strong academic background preferred
- Passion for AI and emerging technologies with the curiosity & initiative to evaluate, experiment with, and implement new tools to increase team efficiency