Strategic Audit, Risk & Governance Manager

Office Of Sport; Sydney; Hybrid; AUD 180,000 - 260,000; Full time

Job summary

Avanade is seeking a Trust Architect (Responsible AI, Risk & Governance) to ensure every Avanade Next system is safe, reliable and production ready, while empowering client teams to adopt new ways of working with confidence. The role spans governance, evaluation and adoption, with guardrails, accuracy targets and human-in-the-loop safeguards.

You will design adoption approaches that build trust through transparency, plus reusable assets across engagements.

Responsibilities

• Governance, guardrails and security controls before build starts.
• Target accuracy, safety and governance thresholds met before production.
• Adoption above agreed threshold at 90 days post-go-live.
• Compliance with responsible AI standards and client obligations.

Job description

Trust Architect (Responsible AI , Risk & Governance)

SUMMARYTrust Architects build trust in the AI and trust among the people who use it. They make sure every system Avanade Next ships is safe, reliable and ready for production - and that the client's people are confident, capable and willing to adopt new ways of working alongside it.The role operates across two dimensions. Trust in the AI: evaluation frameworks, accuracy measures, security controls, governance controls and human-in-the-loop safeguards. Trust in the people: adoption design, capability uplift, ways of working and confidence in human-agent collaboration.

Location: Flexible across Sydney, Melbourne, Brisbane, and Perth.

• Governance & Guardrails – Set governance, risk and security guardrails before build begins. Embed controls, human review and feedback loops as the system evolves. Support regulatory and privacy positions with the right client and Avanade specialists.
• Evaluation & Release Assurance – Design and run evaluations, including accuracy targets, test harnesses and release evidence. Hold the release gate with delivery and quality teams. Work shoulder to shoulder with FDEs so trust and monitoring are built in.
• Adoption & Ways of Working – Design adoption and change approaches that build confidence through transparency, education and demonstrated outcomes. Help clients redesign human-agent interaction so systems fit real work. Track active usage and effective human oversight after go‑live.
• Contribution & Reuse – Support executive and Board confidence with clear governance and accountability frameworks. Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets. Provide independent challenge where trust risks are not being addressed.

• Governance, guardrails and security controls in place before build starts.
• Target accuracy, safety and governance thresholds met before production.
• Adoption above agreed threshold at 90 days post-go-live.
• Compliance with responsible AI standards and client obligations.
• Reusable trust, evaluation and adoption assets contributed from every engagement.

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