You are responsible to analyse the training results (fitness and attrition) of soldiers across the Army. On this, you actively monitor and ensure that the soldier performance protocols are implemented safety and effectively. Your challenge lies in being able to work closely with the various stakeholders to co-develop the soldier performance dashboard and also being able to manage the tech refresh and data flow to ensure that the data collected and displayed remain up-to-date and relevant.
You must have a tertiary qualification in Data Analytics, with at least 6 years' work experience in data analytics work or in related field. Possess strong applied knowledge and skills in data analytics tools and methodologies is essential. You must be able to work independently with minimal supervision and operate as both a leader and team player.
Only shortlisted candidates will be notified.
You drive data governance and data analysis for the Army. On this, you integrate training analytics insights with other related training work-streams. Your challenge lies in being able to piece vast amount of information to support the larger effort in transforming Army’s training. You will need to work efficiently under tight schedules and high tempo and you will be exposed to fast-growing digitalisation.
You must have a tertiary qualification in Computer Science, Data Science or other related quantitative field, with at least 6 years' relevant experience. You should be systematic and meticulous to support in data development.
Only shortlisted candidates will be notified.
You conduct data science (DS) projects to enhance MINDEF/SAF’s decision-making in policy, operations and resource management. You apply DS concepts and techniques in the investigation of strategic and high-risk business problems, and produce insights and recommendations for MINDEF/SAF’s management and stakeholders. You are involved in all phases of the DS projects, from conceptualisation, data preparation, analysis and model development, to visualisation of insights and recommendations.
On this, you adopt best practices with regard to data cleaning, preparation and analysis, constantly review the quality of results generated, and explore various concepts and techniques to improve technical accuracy and reliability of results. At each stage of the DS work, you highlight key deliverables and timelines to stakeholders, and manage expectations of the key outcomes. Additionally, you collaborate with business domain experts, as well as technical counterparts from the wider MINDEF/SAF Community, GovTech and other public service agencies to co-create impactful and innovative DS solutions. Your challenge lies in understanding and explaining complex technical insights and the resulting recommendations to a wide range of audiences, from DS practitioners to senior MINDEF/SAF decision makers.
You must have a tertiary qualification in Statistics, Machine Learning, Computer Science, Operation Research or a related quantitative discipline. Knowledge of cognitive psychology would be an advantage. You should preferably have 1 to 2 years’ work experience in a DS/analytics role and in the application of advanced DS techniques such as text analytics, data mining, clustering, machine learning, modelling and simulation. You should also have hands-on expertise in the use of at least one programming language (e.g. Python, R, Matlab, Java). Possession of good communication and interpersonal skills, and being curious, creative, organised and detail-oriented, are essential. Having knowledge of big data processing framework and tools (e.g. SQL, Spark, Hadoop, MapReduce), application development, web programming or visualisation tools (e.g. Qlik, Tableau) is advantageous.
(Applicants with no experience may apply.)
Only shortlisted candidates will be notified.
You lead the transformation of MINDEF into a digital-first, data-ready organisation by developing the MINDEF Data Strategy to drive the exploitation of data for policy reviews, operational decision making, and to derive workforce efficiencies. You also develop and implement data governance and data management policies and processes in support of the MINDEF Data Strategy outcomes, while ensuring measurements are in place to assess data maturity and quality across MINDEF/SAF. In addition, you partner with digital and data stakeholders across the MINDEF/SAF ecosystem to develop data exploitation strategies that unlock the potential of data for various lines of businesses. Your challenges lie in understanding the fast-moving and evolving digital and data landscape, balancing short-term gains with the long-term shift in data usage, effectively communicating with stakeholders, understanding business needs across various domains, and sustaining momentum in the transformation journey.
You must have a tertiary qualification, with a minimum of 8 years' related working experience, including 3 years in a supervisory position. Prior experience in business/digital/data transformation, policy, governance, compliance, strategy and implementation, as well as supervisory and management experience, will be advantageous. In addition, excellent analytical and problem-solving skills, strong written and verbal communication skills, effective influencing and stakeholder management skills, and creativity, along with a willingness to advocate new approaches, are essential.
Only shortlisted candidates will be notified.
You will be part of a team responsible for developing and implementing data policies and processes to ensure that our data governance and data management practices support MINDEF/SAF as a data-driven organisation. You will work with Whole-of-Government (WoG) counterparts to stay updated on WoG policy changes, collaborate with internal stakeholders to implement the policies and processes to meet the policy objectives, and ensure that systems and processes are designed to detect policy and process non-compliance. Your challenges lie in navigating a complex organisational ecosystem, adapting to unique use cases, balancing broad policies across different domains, and addressing evolving privacy concerns and public attitudes towards data collection and usage.
You must have a tertiary qualification, preferably in Data Management, Data Science, Business Analytics, Law, or a related discipline, with at least 2 years' working experience. Prior experience in policy, governance & compliance, risk management, data privacy, or AI ethics and governance will be advantageous. Additionally, excellent analytical and problem-solving skills, strong written and verbal communication, presentation skills, as well as effective influencing and stakeholder management skills are essential. Appointment will be commensurate with your experience.
Only shortlisted candidates will be notified.