Our client, an Ivy-League University, is urgently looking to add a Technical Project Manager to their team on a contract basis. Open to Remote or Hybrid Candidates! W2 Contract eligible for full benefits! Initial 3-month contract with potential to extend!
As aSenior AI Technical Project Manager, you will play a pivotal role in bringing AI-powered solutions to fruition by collaborating with cross-functional business and delivery teams. Leveraging your extensive experience in delivering products involving large language models (LLMs) and algorithms, you will provide project leadership from product inception to production deployment. You will work closely with the Product Management team, Data Science, and Machine Learning Engineers, among others.
Experience Required: 8+ years of experience managing complex digital technical program delivery, including team standups, stakeholder meetings, and administrative support of programs. 3+ years of hands-on experience in building AI LLM and algorithm products and deploying them into production cloud environments (AWS). Experience overseeing and coordinating the planning, execution, and completion of AI and ML projects. Comprehensive understanding of AI and ML concepts and their application in project management. Technical Expertise: AI and Machine Learning: In-depth understanding of AI principles, machine learning algorithms, and large language models (LLMs). Ability to guide technical discussions and make informed decisions about AI product development. Cloud Computing: Proficiency with cloud platforms, particularly AWS, including services such as EC2, S3, Lambda, SageMaker, and others. Experience with deploying AI models into production environments. Software Development Lifecycle: Knowledge of software development processes, including Agile methodologies, DevOps practices, and CI/CD pipelines. Project Management Tools: Proficiency with tools such as Confluence, Jira, and Miro. Additional Skills: An engineering or developer background is a plus. Duties and Responsibilities Complex Digital Product Management: Manage and lead complex digital products, including the Integrated Data Platform, data, analytics, and digital content programs. Reporting: Provide regular reports and establish standard reports for project teams and stakeholders. Project Estimations: Oversee project estimations and the development of project deliverables. Project Artifacts: Set up and maintain project artifacts throughout the project lifecycle, such as timeline, resource plan, routine reports, milestone sign-off documents, and post-delivery review. Scrum Master Role: Act as a scrum master to run team standups using Jira for ticketing, estimating, and backlog grooming. Ability to pivot between running standups, sprint planning, sprint grooming, Jira care and maintenance, and technical meetings on AI feature tracking. Scope Management: Establish and maintain processes to manage scope throughout the project lifecycle. Project Management Best Practices: Champion project management best practices within the Digital Transformation team. Project Life-cycle Management: Manage the full project lifecycle, from requirements capture, through solution design, build, test, and deployment. Risk Management: Identify, manage, and mitigate project risks, issues, and dependencies.
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