Data Architect

• This position is for Office of Integrated Information Technology Services (IITS).

• Data Architecture

• Create and maintain data architecture framework, standards and principles including modelling, metadata, security, master and reference data.

• Data Analytics Solution Leadership

• Lead BI Specialists, data scientists to build, support and continuously improve data analytics solutions in both day-to-day data management (BAU) activities and new project implementation.

• Champion the good practices of enterprise-grade analytics solution design that promote standardization, scalability, integrability, reusability, resiliency, etc.

• Data Analytics System Delivery Management

• Work with data engineers, data scientists and other IT members in the implementation of analytics solutions.

• Responsible for requirements analysis, design, development, testing, implementation and maintenance of enterprise-grade analytics system.
• Effectively manage project timelines, resources, and deliverables to ensure successful project outcomes, aligning with organizational objectives.

• Data Analytics System Support

• Lead operational support for enterprise analytics systems, ensure high adoption and Customer Satisfaction (CSAT).

• Establish necessary forums with stakeholders to define and execute in accordance to analytics solution roadmap.

• Controls & Standards

• Define, develop and promote BI & Analytics framework, standards, guidelines, procedures and practices.

• Team Management

• Take ownership and support team and while holding team accountable for their commitments, removing roadblocks to their work.

• Leverage organizational resources to improve capacity for project work.
• Mentor and develop team members.
• Any other duties as assigned.

Qualifications

• Degree or Diploma in Computer Science, Information Technology, or a related discipline.
• Minimum 3 years' experience in architect and lead roles, showcasing proficiency in end-to-end BI solution design and architecture.
• Must be technically competent with hands-on expertise in designing enterprise-grade BI solutions using Microsoft Power BI and/or Qlik Sense.
• Proficient in end-to-end analytics solutions and familiar with third normalization, dimensional modelling, ETL, visualization, statistical analysis and machine learning. Experience in cloud technologies, e.g. Azure, AWS, Google is advantageous.
• Relevant certification in data management domain (e.g. DCAM, CDMP) is advantageous.
• Good to be knowledgeable in AI and LLM.
• Capable of assuming roles as project manager and business analyst, leading discussions from project initiation to planning and delivery of data and analytics projects.
• Skilled at quickly assimilating ideas, techniques and information, translating complex requirements into clear and concise statements.
• Well-versed in secure software development life cycle models, code versioning, release management, ticket management, CI/CD, and disaster recovery planning. Experience in establishing these processes is advantageous.
• Experienced in managing third-party vendors, particularly offshore partners, with a focus on project delivery initiatives.
• Resourceful and able to work independently, demonstrating strong planning, organizational, and problem-solving skills to manage competing demands.
• Ability to manage and prioritise work within a small team, and function as a strong individual contributor as well as team leader. The team is small, and strong performers must demonstrate their capability as a subject matter expert.
• Excellent interpersonal, persuasive, and communication skills, with proficiency in both oral and written communication. Capable of collaborating effectively with individuals at various levels of the organization.

Other Information

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.