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Technical Policy Manager, Responsible AI Deployment – AVEVA, London Hybrid
Lead responsible AI governance and deployment for AVEVA’s industrial software and internal operations. Shape policy, assurance, regulatory engagement, customer governance, and enterprise adoption.
Сипаттама
- Lead AVEVA’s responsible AI deployment agenda across software products and internal operations
- Convert Responsible AI principles into practical guidance, governance frameworks, training programmes, deployment standards, procedures, and tools
- Establish and maintain policies, decision rights, review gates, exception processes, documentation standards, and lifecycle controls
- Coordinate Security, Risk and Compliance, Sustainability, Legal, Commercial, Product, Enterprise IT, Talent, and Learning teams
- Drive organisation-wide communication and adoption of Responsible AI principles
- Set the learning strategy, metrics, role-based pathways, onboarding materials, workshops, and digital learning programmes
- Lead customer engagements to co-design AI governance and accountability systems
- Engage with governments, regulators, industry groups, standards organisations, technology partners, and multi-stakeholder initiatives
- Produce external guidance, white papers, position notes, playbooks, and customer assurance materials
- Work with R&D and Portfolio teams to embed governance into product delivery
- Define responsible deployment controls covering release criteria, human oversight, rollback plans, monitoring, and incident response
- Maintain auditability, traceability, evidence generation, change control, and third-party risk readiness for regulated customers
- Set deployment and governance KPIs and incorporate customer lessons into internal standards
- Support responsible AI adoption, procurement, deployment, and use throughout AVEVA’s operations
- Advise business leaders and AI initiatives on innovation, productivity, regulatory expectations, risk management, and responsible outcomes
- Identify emerging risks, governance gaps, and adoption barriers, then develop mitigation approaches
Талаптар
- 3–5+ years of experience in technical policy, Responsible AI governance, AI assurance or risk, trust and safety, security policy, or data governance
- Understanding of ethical considerations in AI and data practices
- Demonstrated experience engaging externally with customers, regulators, industry groups, and standards organisations
- Experience converting engagement outcomes into internal organisational change
- Ability to lead Responsible AI strategy and influence internal policy
- Experience contributing to industry-wide standards
- Experience working in or with regulated or high-assurance environments
- Familiarity with audits, controls, evidence, incident processes, and change governance
- Strong technical background for understanding and critically evaluating complex AI and machine learning technologies
- Practical knowledge of deployment controls and operational governance, including release criteria, monitoring, rollback, and human oversight
- Excellent communication, writing, and briefing skills
- Ability to communicate credibly with engineering leaders and external stakeholders
- Experience working in matrix organisations and leading cross-functional teams
- Ability to influence culture and implement change across reporting lines
- Strong project management skills
- Experience leading projects that embed Responsible AI practices into business operations
- Successful completion of drug screening and a comprehensive background check before employment
- Proof of work authorisation may be required during background checks
Артықшылықтар
- Flexible benefits fund
- Emergency leave days
- Adoption leave
- 28 days of annual leave plus bank holidays
- Pension
- Life cover
- Private medical insurance
- Parental leave
- Education assistance programme
- Hybrid working
- Reasonable support and accommodation during the application process
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