Job Description

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- Set governance, risk and security guardrails before build begins
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- Embed controls, human review and feedback loops as systems evolve
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- Support regulatory and privacy positions with client and Avanade specialists
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- Design and run evaluations, including accuracy targets, test harnesses and release evidence
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- Hold the release gate with delivery and quality teams
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- Work with FDEs to build trust and monitoring into systems
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- Design adoption and change approaches through transparency, education and demonstrated outcomes
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- Help clients redesign human-agent interaction to fit real work
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- Track active usage and effective human oversight after go-live
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- Support executive and Board confidence with governance and accountability frameworks
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- Contribute evaluation harnesses, guardrail patterns, governance frameworks and adoption assets
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- Provide independent challenge where trust risks are not being addressed
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- Ensure governance, guardrails and security controls are in place before build starts
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- Ensure target accuracy, safety and governance thresholds are met before production
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- Drive adoption above the agreed threshold 90 days post-go-live
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- Ensure compliance with responsible AI standards and client obligations
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Requirements

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- 5+ years across AI governance, model risk, security, responsible AI, or large-scale technology change and adoption
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- Strength in two of AI governance, model risk, security, responsible AI, or large-scale technology change and adoption, with a credible path into the third
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- Hands-on evaluation experience with generative or agentic systems is strongly preferred over policy-only backgrounds
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- Working knowledge of the APAC regulatory setting relevant to their market
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- Practical change and enablement capability with technical audiences and frontline users alike
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- Able to build trust with sceptical stakeholders and to say no with evidence
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- Comfortable in a role that is still being defined, in a track with no established internal precedent
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- Australian Citizens are preferred; Permanent Residents will also be considered
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Core Competencies

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Demonstrates expertise in AI Governance, Model Risk, and Responsible AI, with a strong focus on compliance and security controls. Proven ability to drive change and adoption through effective stakeholder engagement and evaluation methodologies.

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Highest-signal resume keywords

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- AI Governance
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- Model Risk
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- Responsible AI
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- Change Management
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- Evaluation Experience
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Hard Skills

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- Governance Frameworks
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- Risk Management
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- Security Controls
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- Evaluation Harnesses
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- Accuracy Targets
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- Test Harnesses
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- Compliance Standards
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- Human-Agent Interaction Design
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- Monitoring Systems
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- Adoption Strategies
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Soft Skills

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- Stakeholder Engagement
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- Trust Building
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- Communication
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- Change Enablement
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- Feedback Loop Implementation
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Industry Keywords

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- APAC Regulatory Environment
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- Responsible AI Standards
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- Governance and Accountability Frameworks
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- Human Oversight
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- Delivery and Quality Teams
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📌 Trust Architect, Responsible AI, Risk & Governance (New South Wales)
🏢 Jobtailor
📍 New South Wales