IMDA
Digital Economy
SM/M,BusinessEcosystemManager(EmergingTech)
Neural analysis suggests this role is
optimal for Manager candidates.
“SM/M, Business Ecosystem Manager (Emerging Tech) at IMDA. Skills: Emerging Technologies, Ecosystem Management, Digital Transformation. Drive enterprise adoption of emerging technologies. Build business relationships with stakeholders”
Industry & Context.
What They're Looking For.
Must Have
5 years of relevant working experience, 1-3 years of hands-on experience in AI/ML projects, Technically trained, Experience in ecosystem-level partnership management, Project management experience, Vendor management experience, Ability to articulate emerging technologies value, Results-oriented, Ability to work independently, Ability to multi-task
Nice to Have
Hands-on experience in AI/ML projects
What You'll Do.
Drive enterprise adoption of emerging technologies
Build business relationships with stakeholders
Manage business relationships with stakeholders
Market products and solutions
Support early adoption of emerging technologies
Support commercialisation of emerging technologies
Drive initiatives for exploitation of emerging technologies
Develop industry programmes
Develop new business models
Engage new ecosystem partners
Design Minimum Viable Products
Develop Minimum Viable Products
Design Proof-of-Concepts
Develop Proof-of-Concepts
How You'll Work.
Team & Collaboration
Multi-disciplinary teams
Communication Scope
Articulate value
Process & Methodology
Project management
Full Job Description
**[What the role is]** Job Description: IMDA is spearheading Singapore’s drive to be a world-leading Digital Economy. IMDA aims to empower our companies and workforce with digital technologies and enable Singapore to lead globally in digital innovation. As Senior Manager/Manager in the Business and Ecosystems Division, the incumbent plays a key role in supporting win-win propositions for complex ecosystem partnerships that elevate the industrial adoption of Emerging Technologies – such as artificial intelligence AI, agentic AI, embodied AI, AI Governance and trust technologies. The ideal candidate will be technically trained and possess an entrepreneurial and creative mindset, with experience in driving digital transformation and implementing emerging technologies for enterprises. Candidates with 1–3 years of hands-on experience in AI/ML projects will have an added advantage. **[What you will be working on]** ## **Responsibilities:** * Work across multi-disciplinary teams to drive enterprise adoption of emerging technologies. Key aspects include: * Building and managing business relationships with key industry stakeholders, including technology partners, end-users, and research teams. * Marketing products, solutions, and related technologies to potential end-users. * Supporting the early adoption and commercialisation of emerging technologies generated through partnerships with industry and academic research. * Driving initiatives necessary for the exploitation and adoption of emerging technologies, e.g., developing industry programmes, new business models and engaging new ecosystem partners. * Designing and developing Minimum Viable Products and Proof-of-Concepts to establish real-world use cases for evaluations and drive interests for early adoption. **[What we are looking for]** ## **Requirements:** * At least 5 years of relevant working experience – such as in Management/Technology Consulting, Digital Innovation, Project Management, and/or Strategic Planning. *
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