:The JobStrategic Planning and Roadmap Development:
Develop a strategic roadmap for AI implementation aligned with business goals and objectives.
Identify opportunities for AI adoption across various business functions and define priorities for implementation.
Technical Evaluation and Implementation
Collaborate with cross-functional teams to design AI and data management solutions that meet business requirements and technical specifications.
Evaluate and select AI and Data related technologies, tools, and platforms to support implementation efforts.
Integrate AI and Data management solutions with existing systems, infrastructure, and processes, ensuring compatibility and seamless operation.
Evaluate and select data management technologies, platforms, and tools to support data architecture initiatives, considering factors such as scalability, performance, and cost-effectiveness.
Stay abreast of emerging technologies and industry trends in AI and data management, analytics, and cloud computing
Architecture Governance and Compliance:
Establish architecture governance processes to ensure adherence to data architecture principles, standards, and guidelines.
Monitor compliance with regulatory requirements, industry standards, and best practices related to data management and security.
Project Management and Execution:
Lead the planning, execution, and monitoring of AI implementation projects, ensuring adherence to timelines and budgets.
Coordinate with internal teams, external vendors, and stakeholders to drive project delivery and mitigate risks.
Change Management and Adoption:
Develop change management strategies to facilitate the adoption of AI solutions by end-users and stakeholders.
Provide training, documentation, and support to ensure successful deployment and utilization of AI technologies.
Resource Management and Team Leadership:
Build and lead a team of AI engineers, data engineers, and/or other professionals responsible for implementing AI solutions.
Provide guidance, mentorship, and support to team members, fostering a culture of innovation, collaboration, and excellence.
Stakeholder Management:
Serve as the primary point of contact for stakeholders, providing regular updates on project status, milestones, and outcomes.
Collaborate with business leaders, users, and other stakeholders to understand requirements, gather feedback, and ensure alignment with project goals.
Risk Management and Compliance:
Identify and assess risks associated with AI projects, including technical challenges, resource constraints, and regulatory compliance issues.
Develop and implement strategies to mitigate risks and ensure compliance with relevant laws, regulations, and ethical standards.
Performance Evaluation and Continuous Improvement:
Evaluate the success of AI projects based on predefined metrics and KPIs, analyzing outcomes and identifying areas for improvement.
Drive continuous improvement initiatives, incorporating lessons learned and best practices into future projects to optimize performance and outcomes.
Job Requirement
Minimum Bachelor\'s degree in computer science, engineering, data science, or related field. A Ph.D. is a plus.
Proven experience (5 years or more) leading AI and/or Data management projects from conception to delivery, preferably in a corporate or enterprise environment.
Deep understanding of data management principles, data modeling techniques, and database technologies.
Experience with data integration, ETL processes, data governance, and metadata management.
Proficiency in data architecture tools and platforms (e.g., ERwin, SAP PowerDesigner, Informatica)
Strong technical expertise in AI technologies and Data management, including machine learning, deep learning, natural language processing, and computer vision.
Technical understanding to perform and lead data management practices - Data quality improvements, Data engineering - Experience in Python/DB programming languages - SQL is a must.
Excellent project management skills, with the ability to effectively plan, organize, and prioritize tasks in a dynamic environment.
Strong leadership and communication skills, with the ability to inspire and motivate team members, build consensus, and influence stakeholders.
Experience with agile or other iterative project management methodologies is desirable.
Demonstrated ability to navigate complex organizational structures, manage competing priorities, and drive results in a collaborative, cross-functional environment.
Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., DAMA) is a plus
About Us:Jurong Port Pte Ltd is a port operator headquartered in Singapore. Jurong Port, which operates the only multi-purpose port in Singapore, handles bulk, break-bulk and containerised cargo. It handled over 40,000 vessel-calls annually in 2019.The port owns and operates its own subzone located in the town of Jurong East in Singapore. It is bounded by Jalan Ahmad Ibrahim, Jurong Pier Road, Jurong Island Highway, Seraya Avenue and Sugnei Jurong, including Pulau Damar Laut.About the Team:Jurong Port Pte Ltd is a port operator headquartered in Singapore. Jurong Port, which operates the only multi-purpose port in Singapore, handles bulk, break-bulk and containerised cargo. It handled over 40,000 vessel-calls annually in 2019.The port owns and operates its own subzone located in the town of Jurong East in Singapore. It is bounded by Jalan Ahmad Ibrahim, Jurong Pier Road, Jurong Island Highway, Seraya Avenue and Sugnei Jurong, including Pulau Damar Laut.Jurong Port has served Singapore for more than 50 years as the main point of entry to our island state, building up extensive experience and becoming the world\'s leading port operator in handling general, bulk and containerised cargo.Moving forward, we aspire to develop the next generation multipurpose port by offering a full range of high-value maritime port services that will be second to none-a port that anticipates changing cargo and importation needs, one that grows in sophistication as well as in effectiveness to deliver value-for-money, timely service to our port users today, and in the future.