AI Adoption Roadmap: Support the development of structured AI adoption roadmaps for NCS business units, translating identified opportunities into phased implementation plans that leadership can act on. This is a living document that directly informs how NCS prioritizes AI investment.
AI Use Case Repository & Evaluation Framework: Help build and maintain a repository of AI use cases across NCS's service lines, complete with a standardized evaluation framework covering business value, feasibility, and risk. This becomes a core reference tool for AI decision-making across the organization.
Market & Competitive Intelligence Briefs: Produce periodic intelligence reports on AI trends, competitor moves, and emerging technologies relevant to NCS's clients and industries. These briefs feed directly into leadership discussions and client conversations.
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AI Adoption Roadmap: Support the development of structured AI adoption roadmaps for NCS business units, translating identified opportunities into phased implementation plans that leadership can act on. This is a living document that directly informs how NCS prioritizes AI investment.
AI Use Case Repository & Evaluation Framework: Help build and maintain a repository of AI use cases across NCS's service lines, complete with a standardized evaluation framework covering business value, feasibility, and risk. This becomes a core reference tool for AI decision-making across the organization.
Market & Competitive Intelligence Briefs: Produce periodic intelligence reports on AI trends, competitor moves, and emerging technologies relevant to NCS's clients and industries. These briefs feed directly into leadership discussions and client conversations.
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The AI Enablement Manager helps enterprise customers turn AI from a product capability into real business outcomes. You will work with customers and internal teams to understand problems, design AI-powered solutions, deploy them in real business environments, measure performance, and continuously improve results with data and AI tools.
This is not a traditional customer success role, and it is not a narrow delivery role. You will operate more like an AI field deployment owner: close to customers, close to product, close to data, and accountable for making AI actually work in the field.
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Design AI Talkbot solutions for large enterprise customers, aligning product capabilities with customer business needs to highlight value and secure buy-in.
Define product and service scope, establishing clear boundaries for solution integration, customization, and the interface between the company's products and customer systems.
Lead project management for delivery and on-site integration projects, including requirement communication, project planning, team coordination, progress promotion, leadership, and risk management until final delivery.
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Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
Discuss complex industry-specific business concepts with executives, line managers and technologists
Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organisations
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Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
Discuss complex industry-specific business concepts with executives, line managers and technologists
Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organisations
...
Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
Discuss complex industry-specific business concepts with executives, line managers and technologists
Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organisations
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Design and develop Generative AI solutions to enhance customer service operations, and/or solve real-life problems.
Build and optimise Retrieval-Augmented Generation (RAG) systems to improve AI responses by incorporating our internal knowledge base and documentation.
Maintain and enhance existing Generative AI and LLMs technologies, with emphasis on prompt engineering, functionalities and user experience.
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The AI Enablement Manager helps enterprise customers turn AI from a product capability into real business outcomes. You will work with customers and internal teams to understand problems, design AI-powered solutions, deploy them in real business environments, measure performance, and continuously improve results with data and AI tools.
This is not a traditional customer success role, and it is not a narrow delivery role. You will operate more like an AI field deployment owner: close to customers, close to product, close to data, and accountable for making AI actually work in the field.
...
Embracing Future Holdings Limited (EFHL) is an international enterprise group listed on the Singapore Exchange (SGX), with strategic investments and developments across artificial intelligence, digital technologies, education technology, biomedicine, and future-oriented innovation industries.
To cultivate the next generation of AI talents with a global mindset, innovative thinking, and practical capabilities, EFHL has partnered with its strategic innovation partner, AI Foundry, to launch the AI Digital Innovation Talent Development Program.
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Lead design across a portfolio of agency engagements — owning outcomes, supporting project teams, and driving modernisation across different domains and contexts
Shape how the design team's workflows and processes evolve with AI — running experiments across projects, carrying learnings forward, and turning what works into repeatable process
Build the collaboration model between design and adjacent streams: product, engineering, data, and business — using AI as a lever to improve how teams work together
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Strong foundation in visual design and motion graphics, with skills in tools such as Adobe Creative Suite (Photoshop, Illustrator, After Effects), Figma, or similar platforms.
Hands-on experience with AI and generative tools (e.g., Midjourney, DALL·E, Stable Diffusion, Runway, or similar), and the ability to design effective prompts and workflows.
Basic to intermediate understanding of data, models, and automation for creative production (e.g., model fine-tuning, dataset preparation, or integrating AI into pipelines).
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