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 environment 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 Workplace
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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