4 days ago Be among the first 25 applicants Develop strategy, goals, and lead the execution/enablement in IT of data architecture, engineering, and analytics to align with company objectives and cross-department goals and targets Develop and maintain excellent relationships with business leaders and teams from across the enterprise Lead the technology strategy and budget planning and management processes for Data Management and Analytics team and contribute to the enterprise technology strategy Provide overall people and technology leadership to the Data Management and Analytics team Lead analytics team to enable Citizen Data Scientists program to conduct data drive analytics in shipping, logistics and port business Lead data management team to shape and drive tactical and strategic development of data platform infrastructure Lead development teams to implement data pipelines for analytics solutions and machine learning applications Partner with product owners, application development leads, vendors and cross-functional teams to implement solutions that meet the needs of the enterprise Oversee solution design for all data engineering activities for all components of the data platform including data pipeline, data lake, domain layer, business layers Drive day-to-day service delivery for the data platform, leading initiatives to improve long-term performance, system stability, scalability, security, and resilience of services. Key Requirements: Bachelor’s Degree or Master’s Degree in Computer Science or other relevant areas Preferrable 15+ years of relevant experience in shipping industry, or any related field of which at least 10 years of experience gained at management level in data and analytics expertise Experienced in data and analytics strategic planning, project management and vendor management Familiar with business processes and data models in marine time industry covering shipping, logistics and port business Experienced in managing change and process improvements in an organization Experienced in managing cross-office teams Good understanding of data and analytics technologies available in the market Fluency in presenting abstract data concepts, storytelling and driving actionable results from analytical findings to business management Demonstrates thorough abilities and/or a proven record of success in the following areas: Experience in various end-user analytics platforms – e.g., Tableau, Spotfire, Power BI Experience in various data storage tools and platforms – e.g., Spark, Hadoop, Elasticsearch, Amazon S3 Experience in various data integration solutions: Kafka, Nifi Ability to work under pressure, independently, deliver quality work and drive change in a fast-paced work environment OOCL is an Equal Opportunity Employer. OOCL will retain the personal data of applicants/ unsuccessful applicants for future recruitment purpose for a period of six months. All personal data will be destroyed immediately right after the abovesaid period. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Maritime Transportation, Information Services, and Data Infrastructure and Analytics
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