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Digital Transformation
3 months ago
Digital Transformation & Technology Innovation.
The role will primarily drive digital transformation strategy & initiatives across the group and its portfolio companies.
Key ResponsibilitiesShape and steer the Group's Digital Transformation agenda, with a focus on advanced analytics, across the Group and it's portfolio companies (in various sectors).
Provide strategic and execution advisory and expert knowledge on Advanced Analytics, Business Intelligence, and AI / ML.
Provide advisory support to the Group's Operating Companies (Board-level, CEO and CxO level, and Digital Leader and technical teams level) to deploy: (i) Advanced Analytics, Business Intelligence, and AI / ML.
Lead the set-up and roll-out of an AI Centre-of-Excellence (CoE)
Identify strategic opportunities to drive value creation for both Group level (portfolio-wide) and individual portfolio companies from Advanced Analytics, Business Intelligence, and AI / ML.
Relevant degree in Engineering, Science, Management, or other related field from a highly accredited University, with a preference for advanced degrees, and/or relevant technical qualifications.
Strong understanding of a wide range of Advanced Analytics technologies and their business use-cases which must include a strong focus on Business Intelligence, AI / ML, and other forms of Advanced analytics, along with an understanding of Cloud, Data, Automation (software and/or hardware), IoT/ OT, Major Systems, Connectivity, and IT Infrastructure.
Experience using advanced analytics, AI, and ML to achieve business goals in organizations, creating data & AI strategies and roadmaps, and identifying main areas where the application of AI / ML can stimulate business growth.
Experience in developing Advanced Analytics strategies and execution plans, including clear alignment to the business strategy and an understanding of where business use-cases drive value through improving customer experience, enhancing commercial effectiveness, evolving operational efficiency, and creating new business models.
Experience of working across multiple sectors
Experience of leading and driving the execution of end-to-end Digital / Advanced Analytics initiatives, including delivery of multiple use-cases from conception through to POC and at-scale execution.
Excellent presentation, influencing, and communication skills.
RequirementsRelevant degree in Engineering, Science, Management, or other related field from a highly accredited University, with a preference for advanced degrees, and/or relevant technical qualifications.
Strong understanding of a wide range of Advanced Analytics technologies and their business use-cases which must include a strong focus on Business Intelligence, AI / ML, and other forms of Advanced analytics, along with an understanding of Cloud, Data, Automation (software and/or hardware), IoT/ OT, Major Systems, Connectivity, and IT Infrastructure.
Deep experience using advanced analytics, AI, and ML to achieve business goals in organizations, creating data & AI strategies and roadmaps, and identifying main areas where the application of AI / ML can stimulate business growth.
Experience in developing Advanced Analytics strategies and execution plans, including clear alignment to the business strategy and an understanding of where business use-cases drive value through improving customer experience, enhancing commercial effectiveness, evolving operational efficiency, and creating new business models.
Experience of working across multiple sectors Experience of leading and driving the execution of end-to-end Digital / Advanced Analytics initiatives, including delivery of multiple use-cases from conception through to POC and at-scale execution.
Excellent leadership skills, and ability to engage and influence senior leadership e.g., Board members, CEOs, senior-level executives, technology vendors. Excellent presentation, influencing, and communication skills.