AI Technical Project Manager
EisnerAmper
full-time
Posted on:
Location Type: Hybrid
Location: Iselin • New York • United States
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About the role
- Lead end-to-end delivery of AI and automation projects across the EisnerAI portfolio, ensuring on-time, on-budget, and high-quality outcomes
- Define and manage project scope, timelines, milestones, and dependencies in collaboration with product owners, engineers, and data scientists
- Drive sprint planning, standups, retrospectives and support backlog refinement in partnership with product and technical leads
- Coordinate cross-functional collaboration across technology, service lines, and operations teams
- Oversee delivery of AI and data components such as model pipelines, APIs, data integrations, and user-facing applications built on Azure AI and Microsoft ecosystem tools
- Partner with engineering leads to monitor sprint velocity, manage technical risks, and enforce DevOps, security, and responsible AI standards
- Translate business and compliance requirements into technical deliverables, ensuring adherence to data privacy, security, and governance frameworks (NIST AI RMF, Reg 7216, PCAOB)
- Collaborate with internal and external partners to align project milestones, integration timelines, and resource needs
- Serve as a central point of contact for technical and non-technical stakeholders
- Coordinate executive-ready reporting on project health, risks, and dependencies
- Support change management, training, and adoption planning for new AI capabilities
- Foster a culture of transparency, accountability, and continuous improvement across delivery teams
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
- 6+ years of experience managing technology projects, including at least 2+ years in AI, data, or software development environments
- Demonstrated success managing Agile delivery teams and working within iterative development lifecycles
- Experience with Azure DevOps or similar Agile tools (e.g., Jira, GitHub, Confluence)
- Familiarity with cloud architectures (Azure preferred), APIs, and data pipeline concepts
- Strong understanding of software development lifecycle (SDLC), MLOps, and QA/testing practices
- Excellent communication, organization, and stakeholder management skills
- Ability to translate technical concepts for non-technical audiences
- PMP, CSM, or equivalent Agile/PM certification
- Experience with Microsoft Azure AI, ML Studio, or OpenAI services
- Exposure to data governance, AI risk management, or responsible AI frameworks
- Prior experience in professional services or enterprise technology transformation programs
Benefits
- You will have the flexibility to manage your days in support of our commitment to work/life balance
- You will join a culture that has received multiple top “Places to Work” awards
- We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions
- We understand that embracing our differences is what unites us as a team and strengthens our foundation
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI project deliverydata integrationsmodel pipelinesAPIscloud architecturessoftware development lifecycle (SDLC)MLOpsQA/testing practicesAgile deliverychange management
Soft Skills
communicationorganizationstakeholder managementtranslating technical conceptscollaborationtransparencyaccountabilitycontinuous improvementrisk managementtraining
Certifications
PMPCSMAgile certification