The DSTA Academy provides systems engineering and project management training to DSTA staff via in-house courses, and works with technical and subject matter experts to curate a relevant and up-to-date collection of information resources to support staff learning. We are looking for a motivated individual to leverage IT and AI systems to increase the value of information resources to DSTA.
Responsibilities
- Engage internal stakeholders to gather and refine business requirements for information resource systems and services.
- Manage and prioritize change requests, develop test cases, and lead system testing activities (e.g. User Acceptance Testing) to ensure alignment with business requirements.
- Oversee partners to deliver, and maintain system and process documentation for audit, compliance, and knowledge management purposes.
- Ensure systems comply with IT governance, data management policies, and library operating procedures.
- Monitor system performance and resolve operational issues (e.g. broken links), while creating clear and accessible support materials.
- Ensure data accuracy and consistency across systems, working closely with partners.
- Leverage data analytics to drive decision-making and operational efficiency for example, to analyse usage patterns and conduct user interviews to derive actionable insights to improve awareness and engagement with information resources.
- Design, implement, and evaluate change management strategies to drive adoption and impact of DSTA Academy's initiatives.
- Identify and evaluate opportunities to adopt AI solutions to enhance efficiency, personalization, and user experience, and work with partners to implement and manage these initiatives.
- Collaborate with partners to address licensing, data privacy, and ethical considerations related to AI-enabled systems.
- Identify staff's development needs, co-develop training plans, and mentor and coach team members.
- Perform additional professional functions as assigned, such as curating or acquiring information resources and managing associated metadata.
- Degree in any discipline with at least 5 to 8 years of relevant work experience.
- Leadership abilities, with experience in a supervisory role.
- Resourceful, proactive, and meticulous with excellent organisation skills.
- Excellent interpersonal, written communication, presentation and reporting skills.
Candidates with fewer years of relevant work experience may be considered for Manager position.
