EisnerAmper is seeking a Project Manager to oversee the planning, coordination, and execution of AI-driven initiatives across EisnerAmper’s enterprise platform, bridging business strategy and technology execution.
Requirements
- 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.
- Experience with Microsoft Azure AI, ML Studio, or OpenAI services.
- Exposure to data governance, AI risk management, or responsible AI frameworks.
Responsibilities
- 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.
- 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.
Other
- Strong organization, communication, and influencing skills, along with change management, business acumen, managing multiple priorities and experience with systems implementations are vital for this role.
- Coordinate cross-functional collaboration across technology, service lines, and operations teams.
- 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.
