3 February 2021
Our client is looking for creative business-technology individuals to provide business consultancy in developing new business cases and obtained buy-in from various partners with focus in Artificial Intelligence ( AI ) / Data-related technologies.
- Degree in Information Technology, Computer Science, Engineering, Business or Data Science;
- Minimum 5 years in business consultancy in Artificial Intelligence ( AI ) and / or Data Analytics technical product and services;
- Strong technical knowledge in AI / Data related technologies;
- Able to translate technical concepts into business use cases and obtain buy-in from the industries for the use cases.
- Working knowledge of patents, copyrights and other forms of IP;
- Excellent stakeholder engagement and interpersonal skills to drive collaboration across multi-organisations (both internal & external);
- Proactive and independent worker who is able to work well under tight deadlines.
- Experience working with very large data sets, data analytics and machine learning;
- Experience in data science and data platforms.
- Responsible to provide business consultancy in developing new business cases and obtained buy-in from various partners with focus in Artificial Intelligence (AI) / Data-related technologies;
- Seeks active partnerships to form innovative ideas and approaches to improve the business use cases that aim to increase consumption and adoption rate;
- Research and develop proof of concepts, prototypes for new business cases in order to identify new technology/business gaps whereby there are potential opportunities for demand/supply aggregation;
- Responsible to generate leads and engage partners in framing their business challenges, co-create and propose effective business use cases solutions;
- Work closely with technology team, to acting as a liaison to establish product roadmaps to meet business need and demand;
- Build knowledge and expertise in emerging AI/Data-related technologies to promote technology adoption internally and externally within the organization.