Snr Associate - Data Solutions Engineer

Overview

You will be part of the Finance Data & Analytics (FDA) directorate, overseeing the finance data and analytics strategy to support the government’s finance and internal audit community. Your role involves building a high-performance enterprise data engineering & analytics platform, creating a results-driven approach with data assets, and strengthening governance to optimise resource management and drive productivity within the public sector finance and internal audit community.

Key Responsibilities

• Planning, designing and executing the data strategy for the WOG enterprise finance data analytics platform, integrating with agency objectives and building data as strategic assets.
• Establishing and executing data governance, driving data ownership, traceability, discovery, quality, and management to balance accessibility and usability while ensuring compliance with public sector governance policies.
• Overseeing data engineering & analytics architecture across data and AI/ML technologies, monitoring emerging trends, and proposing the technology roadmap for adoption and application.
• Architecting, engineering, and managing data integration solutions to deliver data services at scale for enterprise activities using modern and innovative data technologies.
• Partnering with leaders and executives to identify opportunities for leveraging contextualised data for enterprise BI and AI/ML projects to drive digital transformation and optimise business processes.
• Identifying opportunities for abstracting one-off data projects into reusable solutions and integrating them into the WOG enterprise finance data analytics platform.
• Leading end-to-end data & analytics projects, including user requirement studies, prototyping, development, testing and deployment, within Agile and DevOps practices.

Functional & Technical Competencies

• Tertiary or professional qualifications in Computing, Information Systems, FinTech, Science, Technology, Engineering and Mathematics (STEM), or any related field.
• At least 3 years’ experience in enterprise data platforms, data modelling, data engineering, data technologies, data solutions & products management, or related areas.
• Knowledge or interest in business intelligence tools, data visualisation, reporting, Agile software development, project management in data-related projects, or competency in scripting/coding languages (SQL, Python or Java).
• Knowledge or interest in data architecture, management & governance concepts, business process and technology related to enterprise information assets, data quality, data lineage, and approaches related to data protection, especially within a public sector context.
• Ability to work with cross‑functional teams, including IT, legal, audit, finance and business stakeholders, and good communication skills across technical and non‑technical audiences.
• Fresh graduates are welcome.

Generic Competencies

• Strong team player who collaborates effectively with stakeholders from different public agencies.
• Willingness to provide guidance to team members and agency partners.
• Self‑motivated to learn, with a passion for technology or finance data and staying up‑to‑date with the latest data technologies.
• Strategic thinker and problem solver who approaches tasks with motivation and commitment, and can simplify complex problems to drive overall business outcomes.
• Ability to navigate ambiguity and manage multiple high‑priority projects simultaneously.
• Good perspective‑taking skills, able to analyse issues from different agencies’ standpoints.
• Confident communicator with strong writing, presentation and interpersonal skills that can create consensus on actions from a wide spectrum of stakeholders.
• Analytical, resourceful and proactive, particularly in proposing alternative solutions to achieve desired outcomes.
• Good understanding of public sector finance processes, internal audit, or regulatory compliance requirements.