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MABASA / LINKEDIN

Manager (Safety Analytics & Plans)

Ministry of Defence of Singapore

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**What The Role Is** You will lead the development of innovative digital products that leverage Artificial Intelligence (AI) and data analytics to enhance safety outcomes across the Republic of Singapore Navy (RSN). By partnering with operational users and stakeholders, you will transform complex challenges into practical solutions that improve decision\-making, strengthen safety performance, and deliver measurable operational impact. **What You Will Be Working On** * Identify opportunities to improve safety outcomes and operational effectiveness * Engage users to understand challenges * Translate requirements into product roadmaps * Drive the development of innovative digital solutions * Drive initiatives across the product lifecycle * Apply data\-driven and user\-centric approaches to validate product concepts, monitor performance * Collaborate with stakeholders to develop practical, scalable and sustainable solutions * Drive product adoption through stakeholder engagement, user enablement and change management efforts Challenge(s) * Translating complex, real\-world operational challenges into practical, user\-centric AI and analytics solutions * Aligning diverse internal and external stakeholders while driving product adoption and managing the cultural shift required to embed digital solutions in an operational environment **What We Are Looking For** * Education in Mathematics, Statistics, Computing, Engineering or a related field is preferred * At least 3 years of relevant experience in Data Science and Artificial Intelligence related work is preferred * Experience in implementing analytics or AI\-enabled solutions is advantageous * Strong understanding of data analytics, statistical principles and machine learning concepts, including familiarity with statistical modelling, algorithms and experimentation methodologies * Proficiency in programming languages such as Python or R * Experience with business intelligence and visualisation tools such as Power BI, Tableau or Qlik Sense * Ability to develop analytical models, dashboards and visualisations that support operational decision\-making (Applicants with no experience may apply.) Appointment will be commensurate with your experience. Only shortlisted candidates will be notified.

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