Senior Assistant Manager, Innovation & Improvement Office

The Senior Assistant Manager will be part of the Analytics team who partner stakeholders to interpret and present statistical outcomes to support improvement initiatives. The individual collaborates across departments to address their challenges using data and appropriate techniques in Data Science, Optimisation and Machine Learning.MAJOR DUTIES AND RESPONSIBILITIES

(A) SPECIFIC

• Data & Analytics:

• Perform in-depth analysis (including data extraction, processing, and analysing), formulate insights and provide recommendations that support the desired project outcomes and business case.

• Develop and implement solutions using Generative AI techniques and leverage data visualization tools such as Power BI or Tableau to create intuitive and impactful dashboards.

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Project Management: Assist in projects from conception to completion, supporting timely delivery and achievement of desired outcomes.

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KPI Monitoring: Work closely with cross-functional teams to establish metrics and KPIs to monitor the effectiveness of improvement initiatives and make data-driven decisions.

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Reporting: Generate and present regular reports on the progress, insights and impact of improvement projects to key stakeholders.

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Supporting continuous improvement: Work closely with doctors, nurses, allied health professionals, operations staff and other support departments to foster a culture of innovation and continuous improvement.

(B) GENERAL

• Align the department's goals with the business goals of the hospital.

• Provide secretariat and administrative support to the department and hospital.

• Support all corporate activities, including at NHG cluster level.

JOB REQUIREMENTS

(A) EDUCATION, TRAINING AND EXPERIENCE

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• Bachelor's degree in Computer Science, Data Science, Business Analytics, Applied Mathematics, Statistics, Operations Research, Engineering, Artificial Intelligence, or related quantitative disciplines.

• Minimum of 2 – 3 years in service industry/health-care related areas preferred.

• Strong acumen for data analysis and proficiency with utilising various analytical and modelling tools.

• Analytical with strong problem-solving skills, and ability to work with incomplete or imperfect data.

• Good writing ability, to translate data insights into well-structured reports and presentations.

• Intermediate to advanced level of skill in Microsoft Excel preferred.

• Good communication and collaboration skills, capable of engaging effectively with different internal and external stakeholders.

• Comfortable with uncertainty in work assignments.

• Independent, dynamic, self-motivated and result oriented.

• Possess a positive attitude, is proactive and keen to learn.