Project Manager at Blend Technologies managing Cloud and Infrastructure projects. Overseeing project lifecycle from initiation to completion with a focus on quality and deadline adherence.
About the role
- Project Manager overseeing planning and execution of AI-driven initiatives for EisnerAmper. Responsible for managing complex projects that span data engineering, model development, and automation.
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.
- Support change management, training, and adoption planning for new AI capabilities.
- Serve as a central point of contact for technical and non-technical stakeholders.
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
- Flexibility to manage your days
- Culture that has received multiple top 'Places to Work' awards
- Commitment to work/life balance
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