Description:
Lead all phases of complex information technology projects designed as solutions with universitywide impact and that require high levels of functional integration and involving multiple disciplines to be managed. Perform the full range of the project management lifecycle: discovery initiating planning budgeting executing governance monitoring and controlling and closing. Develop detailed plans schedule project estimate and resource plan. Ensure adherence to quality standards. Manage the integration of vendor tasks and track and review vendor deliverables. Provide technical and analytical guidance to project team. Recommend and take action to direct the analysis and solution of problems; revise as appropriate to meet changing needs and requirements. Evaluate and assess metrics and project effectiveness. Ensure accurate and timely reporting; prepare specialized and ad hoc reports. Absorb and leverage project related technology to ensure effective project management and collaboration. Leverage steering and executive committees for decisionmaking change management and communications. Advise unit/school regarding post project operations. Provide training to clients/staff.
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Additional Details
- Preferred Pay Rate Range : BR0BR/hr
- ReportTo Detail : Remote/WFH 100% in MA
- Tenure Limit : 18 Months
- FLSA Exemption Status : Exempt
- Required Education : College Graduate
- Required occupational training certifications or license(s) : None
- Business Title : Sr AI Technical Project Manager
- Additional Job Details : As a Senior AI Technical Project Manager in the HBS Digital Transformation team you will play a pivotal role in bringing AIpowered solutions to fruition by collaborating with crossfunctional 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. You will report to the Managing Director of Digital Product Management Digital Transformation. 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 handson 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: Indepth 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 signoff documents and postdelivery 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 Lifecycle 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. Other Role Requirements: Candidate must be able to cover EST hours 9a5p
- Does this position require a HUID : Yes
- Is the worker converting from being a Harvard fulltime employee (FTE) : No
- Preidentified candidates information including name email phone state/city/zip & pay rate : (No Value)
- Role requires identity I9 and 3 reference screen (recruited) : Yes
- Role requires identity I9 screen (payrolled) : No
- Role requires DMV/driving history screen : No
- Role requires criminal background and sexual offender screening CORI/SORI : No
- Role requires criminal background screen : Yes
- Role requires 10panel drug screen : No
- Role requires credit record check : No
- Role requires compliance with Immunization policy. : No