- 1-year contract, renewable
- Government project
- Hybrid work arrangement
As a Business Analyst, you will support Artificial Intelligence (AI) initiatives and governance by helping public officers understand, evaluate, and adopt AI safely. This includes creating awareness of Whole of Government (WOG) and emerging AI solutions-particularly in generative AI-while translating AI safety, trust, and responsible-use considerations into practical guidance for MSF divisions. You will contribute significantly to strengthening MSF's AI ecosystem and enabling confident, responsible adoption across the organisation.
If you are passionate about shaping the future of AI and its responsible implementation across family and social services, we invite you to join us on this exciting journey.
This role suits someone who thrives in a product-driven environment, enjoys connecting dots across teams, and communicates clearly and confidently in both technical and non-technical settings.
What You'll Work On:
- Responsible for uncovering operational pain points and inefficiencies where AI could provide meaningful solutions and automation opportunities.
- Design and support development of AI prototypes to across divisions to maximise adoption and integration success.
- Monitor performance of deployed AI projects and develop strategies to expand successful implementations throughout MSF.
- Conduct workshops and collaborate with stakeholders to build AI literacy, raise awareness of approved AI tools, and enable public officers to adopt AI safely and responsibly in their day-to-day work.
- Track and report on AI initiative outcomes, including efficiency gains and cost savings, while supporting long-term AI strategy development.
- Develop reusable frameworks, standards, documentation, and training materials to support sustainable process excellence.
[What we are looking for]
- 2 to 4 years of experience as a technical business analyst, AI advocate, or innovation practitioner in a technology, preferably with hands-on involvement in AI awareness, adoption, or innovation initiatives.
- Good understanding of LLMs, how they work, how to do prompt engineering effectively, and how to build apps with them, their applications, and associated risks.
- Keen interests in AI development, including development in global AI regulations and guidelines.
- Preferably competent in Python programming, with some familiarity of cloud deployments for ML models and LLMs
- Strong written and verbal communication skills, with the ability to translate technical concepts for both technical and non-technical stakeholders.
- Structured, detail-oriented, and accountable, with strong documentation habits and follow-through.
- Comfortable working cross-functionally with engineering, product, policy, frontline teams, and external partners.
- Collaborative and humble, with a strong sense of ownership.
- Bonus: Experience working in the public sector.
