Manager/Senior Manager, Digital Transformation & Generative AI Innovation - Toa Payoh
Toa Payoh Full-time
About IMDA:
The Manager/Senior Manager, Digital Transformation & Generative AI Innovation will be responsible for developing, assessing, and deploying cutting-edge generative AI solutions across enterprise platforms. This role requires not only strategic leadership and project management acumen but also a robust technical foundation in AI.
The Infocomm Media Development Authority (IMDA) spearheads Singapore’s digital transformation by building a vibrant digital economy and an inclusive digital society. As an Architect of Singapore’s Digital Future, IMDA drives innovative initiatives that empower both public and private sectors to harness emerging technologies.
Position Overview:The Manager/Senior Manager, Digital Transformation & Generative AI Innovation will be responsible for developing, assessing, and deploying cutting-edge generative AI solutions across enterprise platforms. This role requires not only strategic leadership and project management acumen but also a robust technical foundation in AI.
The successful candidate will lead technical assessments, prototype integrations, and oversee the rollout of Gen AI solutions—ensuring they meet both performance and compliance standards.
Responsibilities:
- Technical Assessment & Integration:
- Evaluate and select appropriate generative AI frameworks and models (e.g., transformers, diffusion models) to address enterprise challenges.
- Lead technical due diligence and feasibility studies to assess Gen AI solutions before deployment.
- Oversee the design, development, testing, and rollout of AI-driven prototypes and production systems.
- Strategic Planning & Leadership:
- Develop and execute digital transformation strategies that incorporate advanced generative AI to enhance operational efficiency and innovation.
- Collaborate with senior leadership and cross-agency partners to align AI initiatives with broader public policy objectives.
- Innovation & Solution Deployment:
- Drive the integration of AI research into scalable digital solutions, ensuring robust data governance, security, and compliance with regulatory standards.
- Establish a technical roadmap for continuous improvement of AI systems and tools, leveraging best practices and emerging trends.
- Stakeholder Engagement & Partnership Management:
- Engage with industry partners, technology vendors, and government agencies to foster collaborative innovation and accelerate Gen AI adoption.
- Organize technical workshops and seminars to enhance AI literacy among stakeholders and facilitate knowledge sharing.
- Project & Team Management:
- Mentor and manage cross-functional technical teams to deliver complex AI projects on time and within scope.
- Define key performance indicators (KPIs) for AI projects and monitor their progress, making technical adjustments as needed.
Requirements:
- Educational Background:
- Background in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
- Technical Expertise:
- Minimum 5–8 years of experience in digital transformation, with a strong focus on generative AI technologies.
- Proven ability to assess, design, and implement AI solutions in enterprise environments.
- In-depth knowledge of AI frameworks (e.g., TensorFlow, PyTorch) and experience with cloud platforms (AWS, GCP, Azure) for AI deployment.
- Hands-on experience in software engineering, data analytics, and system integration specific to AI projects.
- Leadership & Communication:
- Demonstrated experience managing technical teams and leading cross-functional projects.
- Strong analytical, problem-solving, and strategic thinking skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience in stakeholder engagement and collaborative partnership management within a public sector or large-scale enterprise setting is preferred.
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