Project Manager (data Science)

Singapore, Singapore

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Responsibilities:

Define strategy and implement the plan to coordinate and aggregate demand across all Public Healthcare Institution (PHI) through internal and external forums.
Scan industry and landscape for promising new areas in AI solutions based on MOH\xe2\x80\x99s defined strategic objectives & thematic areas
Engage users on new tech & pilot explorations, and manage the pilot lifecycle.
Work with multiple stakeholders to identify, scope and support the implementation of POC, POV, pilot innovation projects, and manage and track life-cycle of innovation projects at each of the Explore, MVP, POC, POV and Scaling stage.
Share knowledge and information on use cases and work with the funding agencies to identify and evaluate collaborators/providers that offer potential solutions that best suit the needs of users.
Coordinate and communicate with the funding agencies (if applicable) whose investment and grant objectives are relevant to the potential solution at the POC or MVP stages.
Participate as internal review and/or evaluation panelists during the screening and selection process as deemed appropriate by department/division.
Manage AI and tech programmes, track and report to senior management / programme office and retain engagement with the stakeholders throughout the innovation life cycle.

Requirements / Qualifications

Preferably 10 years\xe2\x80\x99 experience and have hands-on experience in project management, client management of medium to large-scale projects, including innovation projects.
Strong interpersonal skills with the ability to work with different groups of stakeholders.
Possess leadership qualities.
Experience in the healthcare industry or experience in developing different types of incubation programs for startups would also be an added advantage.
Degree in Computer Science, Computer Engineering, Data Science or equivalent.

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