Manager (Maritime Space and Drone Capability)

[What the role is]

Crisis scenarios include severe events caused by geopolitical risks, pandemics, natural disasters, and climate change effects, as well as major incidents such as piracies, vessel collisions and sinkings, oil/fuel/chemical spills etc. which could cause disruptions to the global supply chain and negatively impact port security and maritime safety.

To ensure that Maritime Singapore is well-prepared for crisis scenarios, there is a critical need to strengthen and future-proof our operational responses and safeguard Singapore’s national and maritime interests. The complexity of such crises necessitates capability development and collaboration across multiple domains in the assigned area of operations. Future operating concepts must leverage capabilities and sensors across multiple domains in order to ensure effective and timely response in a crisis.

[What you will be working on]

You are responsible for formulating and driving MPA’s maritime drone policies and services for both MPA and the maritime industry, aligning these plans as part of the Multi-Domain Capability Development Hub. You will need to understand the impact of this domain over the wider eco-system and to support policy makers in the quest for a sustainable development of oceans and coastal resources. You will also be responsible for all policy, operations planning and development including working closely with stakeholders to establish standards, safeguards and systems related to Unmanned Aircraft Systems (UAS) in MPA such as the Unmanned Traffic Management System (UTMS). You will be part of the team to drive the design review, development of UAS and operational capabilities to ensure the readiness and serviceability of UAS operated by the operations staff.

Your key responsibilities are:

- Lead the initiatives to plan, develop, implement and manage UAS including design and development of traffic management system, regulations, processes and workflows for monitoring and control of maritime drone activities in our port waters.
- Responsible for project management, network infrastructure design, deployment and operations of UAS, as well as supervise the maintenance of UAS systems.
- Ensure overall quality and integrity of UAS-related projects.
- Maintain the UAS in accordance with international standards and best practices.
- Manage project resources and schedule by working with both internal and external stakeholders to deliver UAS that meet the specified requirements.
- Responsible for the project management of any UAS replacement, including the procurement and implementation process as well as support the implementation of new systems.
- Designing the system/network architecture of high-availability systems which are to be IM8-compliant/cyber-secured, including formulating the technical specifications for the system and ensuring that the delivered system complies with specifications.

[What we are looking for]
- Background in Aerospace Engineering, Electrical and Electronics Engineering, Computer Science, Information Technology or any other engineering related discipline.
- Relevant working experience in aviation and maritime sectors including regulation, communications, integration with systems and IoT technologies, operations or engineering role in project and service delivery.
- Familiarity with aerospace and unmanned aerial systems.
- Past experience and knowledge of Maritime Singapore will be an added advantage.
- Knowledge and experience on radars, electro-optics, frequency spectrum, UAS and related systems will be an added advantage.
- Strong analytical, interpersonal and communication skills.
- Good command of English and writing skills.
- Strong planning and organising abilities:

- Able to frame issues clearly and concisely leading to development of relevant and useful concepts.
- Good negotiation and organizational skills; able to lead multi-disciplinary teams and external stakeholders to actualise concepts and fulfil intended outcomes.
- Able to leverage on data to develop empirical-based models for appreciation of system effectiveness and aid in decision making.