Lead Data Architect

Establishing data architecture framework, standards and practice

• Developing and delivering short and long-term strategic goals for data architecture (across all the layers and domains) vision and standards aligned to the institutional and individual responsibility centre goals.
• Ensuring that data strategies and architectures (including management, tools and standards) comply to internal governance and regulatory requirements, and are promoted within the University.

Facilitating implementation of data architecture framework, standards and practice

• Conducting data capacity planning, life cycle, duration, usage requirements, and feasibility studies.
• Creating short-term tactical solutions (aligned to the practice, Division, business owner, or University) for data architecture to achieve long-term objectives and an overall data management roadmap.
• Overseeing the mapping (current and target) of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality and opportunities of reuse, migration and/or refinement.
• Leading brainstorming sessions to develop potential data architecture solutions for business and/or institutional needs, gaps, requirements, or strategic initiatives.

Analysis and reporting

• Analysing and reporting on the data architecture industry and technology trends by supplying guidance on how it will impact the institutional opportunities as well as risks.

Collaborating with institutional stakeholders

• Engaging with stakeholders through clear communication, appropriate levels of context and explanation.
• Collaborating across the University (including, but not limited to, projects and initiatives) by assisting with data-related deliverables, problems regarding integration, compatibility, and multiple-platform integration.

• Bachelor's degree in computer science, information systems, or a relevant field.
• At least five years' or more work experience in data architecture with the appropriate certifications and experience in developing reference architectures, principles, and standards, OR at least ten years' or more work experience as a data analyst with experience in reference architectures, principles, and standards.
• More than five years' experience in leading teams.
• Effective written and verbal communication and collaboration skills to coordinate projects and deliverables across IT and business.
• Excellent analytical and problem-solving skills.
• Demonstrable ability to evaluate options and apply them to complex institutional problems.
• Flexible in a fast-paced dynamic environment with shifting roles and responsibilities.
• Knowledge of data architecture frameworks and standards.
• Experience in Agile or other delivery methodologies.
• A broad understanding of information technology topics and trends.