GovTech

Government

Senior/ProductManager,DataAnalytics(SC)

S$120–180k ~AI est. Singapore, Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior / Product Manager, Data Analytics (SC) at GovTech. Skills: Product strategy, Roadmap, User stories. Focus on product strategy. Develop product roadmap”

Industry & Context.

Government

What You'll Do.

Focus on product strategy

Develop product roadmap

Collaborate cross-functionally

How You'll Work.

Team & Collaboration

Cross-functional collaboration

Process & Methodology

Product management

Full Job Description

GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Learn more about GovTech at tech.gov.sg. A product manager to manage an analytics and AI system for Singapore Customs. Job Summary As a Product Manager at GovTech, you will play a pivotal role in transforming government services through data-driven insights. You will bridge the gap between business needs and technical solutions, leveraging data analytics to identify opportunities for improvement, optimize processes, and enhance decision-making across various government initiatives. Job Responsibilities Collaborate with various government agencies and stakeholders to understand their business processes, challenges, and data requirements. Translate complex business problems into clear, actionable data analytics requirements and user stories. Perform in-depth data analysis using various analytical tools and techniques to identify trends, patterns, and insights from large datasets. Develop and implement data visualization dashboards and reports to communicate key findings and recommendations to both technical and non-technical audiences. Evaluate the effectiveness of digital services and initiatives using data-driven metrics and provide recommendations for optimization. Work closely with data engineers, data scientists, and developers to ensure the successful implementation of data solutions. Conduct stakeholder interviews, workshops, and user acceptance testing (UAT) to validate solutions and ensure they me

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