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

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

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

AI Technical Project Manager

Key skills