Reporting to the Group Chief Technology Officer in NUHS, you will support lead the implementation and integration of advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. You will also ensure the adequacy and effectiveness of the models and tools for NUHS by managing the project life cycle, maintain stakeholder relations, ensure compliance with quality and security standards.
Key Responsibilities
You will be responsible for the following:
- Oversee LLM Projects from initiation to closure, ensuring alignment with goals, budget, and scope.
- Act as liaison for stakeholders and manage team across clinical, administrative and IT departments.
- Identify project risks and develop mitigation strategies.
- Administer project budget, optimize resource allocation, and adjust project spending as necessary.
- Direct a multidisciplinary team, promote collaboration, and foster and environment for continuous improvement.
- Ensure LLM meets quality standards and oversee testing phases (SIT & UAT)
- Manage vendor relations, SRB processes, outreach programs and compliance with AI governance and security.
- Oversee all the developers and data analysts with necessary intervention for any roadblocks
- Collaboration with grant manager on details for grant support and management
- Assist with the Project Lead for Calsense+
- SOP maintenance and creation for all project charter SLDC lifecycle
Requirements
- Bachelor's degree or ideally Master's degree in IT, Business or related field
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- PMP or PRINCE 2 certification or comparable project management experience
- Familiarity with statistical techniques and data mining methods.
- 5-8+ years of IT project management experience with 2+ in healthcare IT projects
- Familiarity with AI/ML technologies, particularly in healthcare applications.
- Proven leadership, communication, and organizational skills
- Ability to handle multiple tasks and work within tight deadlines
- Knowledge of AWS and related cloud services in preferred
- Experience in managing technical/infrastructure project management
- Experience in Product Management
- Completion of minimally 1+ SLDC cycles with a project budget management of $1million and above
- Any other tasks assigned by the Reporting Officer
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