*GOV* Business Analyst | AI Adoption
Summary
This role involves identifying operational pain points and implementing AI solutions to improve productivity and automate processes. The analyst will design AI prototypes, manage stakeholder requirements, and develop frameworks to support sustainable AI adoption within the organization.
Business Analyst | AI Adoption & Innovation
- Working Hours: Monday to Friday, Hybrid Working Arrangement
- Working Location: Central
- Remuneration package: Up to $9,000 + AWS
Responsibilities
- Identify operational pain points, process inefficiencies, and opportunities where AI can improve productivity, enhance user experience, and automate processes.
- Engage business and technology stakeholders to understand requirements, define AI use cases, and translate business needs into practical solutions.
- Design, develop, and support AI prototypes and proof-of-concepts to validate use cases and facilitate successful adoption.
- Assess and monitor the performance, usability, and impact of AI initiatives, identifying opportunities for continuous improvement and wider implementation.
- Conduct workshops and knowledge-sharing sessions to build AI literacy and enable users to adopt approved AI tools safely and effectively.
- Track and report on AI initiative outcomes, including productivity improvements, efficiency gains, and cost savings.
- Support the development and implementation of AI adoption strategies aligned with business objectives and evolving technology trends.
- Develop reusable frameworks, standards, documentation, playbooks, and training materials to support sustainable AI adoption.
- Collaborate with cross-functional teams and external partners to support the delivery, implementation, and continuous improvement of AI initiatives.
- Stay informed on emerging AI technologies, applications, regulations, and industry developments to identify opportunities and potential risks.
Requirements
- 2 to 5 years of relevant experience in business analysis, technology consulting, digital transformation, AI adoption, innovation, or a related field, with experience supporting technology or AI initiatives.
- Good understanding of Large Language Models (LLMs), including their capabilities, limitations, applications, prompt engineering techniques, and associated risks.
- Experience developing or supporting AI-powered applications, prototypes, or proof-of-concepts; familiarity with Python and cloud-based AI/ML solutions will be an advantage.
- Strong analytical, communication, and stakeholder management skills, with the ability to translate technical concepts into practical solutions for both technical and non-technical stakeholders.
- Strong interest in emerging AI technologies and developments, with the ability to work collaboratively, manage multiple priorities, and take ownership of assigned initiatives.
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Aloysius Tan Sheng Rong - R22110441
ScienTec Consulting Pte Ltd - 11C5781