Executive - Operations Technology

Job Detail

Drive Business Development Operations • Analyse market needs and opportunities in key accounts within assigned verticals. • Analyse customer needs to determine the prevalent trends, dynamics and market movements. • Conduct targeted conversations with customers to identify customer needs. Drive Sales and Marketing Operations • Develop sales proposals/tender documents. • Execute sketch prototypes, visualisations and mock-ups for design development. • Create engaging information graphics for stakeholders. • Create visualisations and storyboards of user journeys. • Translate accurate visualisations from design concepts based on communicated requirements. Drive Business Admin Operations • Perform basic risk assessments. • Apply operational policies, standards and procedures. • Communicate requirements and activities to stakeholders. Drive Programme Management Activities • Perform administrative support for project management processes. • Estimate resources required for project activities. Drive Customer Service Operations • Resolve customer relationship management conflicts. • Analyse customer information and needs to improve customer relationships. • Deploy logistics services that meet customer requirements. • Plan delivery of logistics services that meet customer requirements. • Monitor lapses in delivery of logistics services to customers. Drive Logistics Solutioning Services • Propose ways to eliminate gaps and weaknesses in supply chain operations. • Develop plans to implement innovative logistics solutions. • Develop non-established supply chain operations for customers. • Recommend innovative logistics solutions that address customer needs. Drive Technology Application and Integration Activities • Gather information on the latest technology trends. • Review latest technology trends for application to logistics business. • Facilitate key activities and milestones in technology projects. Conduct research on artificial intelligence / machine learning models • Research and implement machine learning algorithms and tools for AI/ML model development • Test the operation and performance of the deployed models • Support continuous improvement of AI solutions Others • Undertake any assigned projects / duties directed by Management (if any)