Technical Policy Manager — Responsible AI Deployment

AVEVA; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

AVEVA seeks a Technical Policy Manager to lead responsible AI deployment and governance. You will translate principles into practical guidance, develop policy and enable scalable learning, while coordinating cross-functionally to ensure compliant AI across products and operations.

You will engage with customers, regulators, and industry bodies to shape governance, standards and assurance artefacts; and drive adoption across AVEVA’s engineering and product teams in a hybrid London/Cambridge

Qualifications

• 3–5+ years in technical policy, responsible AI governance, AI assurance/risk, trust & safety, security policy, or data governance roles.
• Proven externally facing engagement with customers, regulators, industry groups or standards bodies.
• Strategic leadership in Responsible AI and policy development with ability to influence internal policies.
• Experience in regulated/high-assurance environments and familiarity with audits, controls and evidence.
• Technical and deployment fluency to critique AI/ML technologies and align with ethical guidelines.
• Strong communication and advisory skills to convey concepts to engineers and executives.
• Collaborative leadership across matrix organisations to drive change.
• Project management skills to lead cross-functional initiatives.
• Experience producing customer-facing assurance artefacts (control matrices, evidence packs).
• Knowledge of OT environments and industrial cybersecurity considerations; familiarity with NIST ISO guidance.

Responsibilities

• Translate AVEVA’s Responsible AI Principles into practical guidance, procedures, standards and tools.
• Define governance policies, decision rights, review gates and lifecycle controls.
• Coordinate with Security, Risk/Compliance, Sustainability, Legal and commercial teams to maintain a coherent governance approach.
• Socialise and embed Responsible AI principles across the organisation.
• Lead learning strategies and enablement programmes for Responsible AI.
• Engage with customers, regulators and industry groups to advocate responsible AI practices.
• Embed governance into product delivery and AVEVA’s AI development lifecycle.
• Set deployment criteria, human oversight, rollback and incident response coordination.
• Establish KPIs and feed learnings back into internal standards.
• Support AVEVA Operations with responsible AI adoption and governance guidance.

Skills

External engagement

Regulated sector experience

Policy development

Technical policy

Deployment governance

Communication

Cross-functional leadership

Project management

Standards & compliance

Risk & governance

Job description

**Job Title:** Technical Policy Manager - Responsible AI Deployment**Location:** London or Cambridge, UK - Hybrid (50% working time at the office)**Employment Type:** Full time, Permanent**The Job**You will lead our **responsible deployment** agenda for AVEVA’s AI software products and for adoption of AI within AVEVA’s operations. Our responsible AI agenda is grounded in a set of core principles: sustainability; accuracy and robustness; human-centricity and fairness; data governance and privacy; transparency and explainability; and accountability. A key aspect of the role is translating these principles into practical guidance, governance frameworks, learning programmes and deployment standards, helping build a shared understanding of what Responsible AI means for AVEVA, our customers and our stakeholders. Responsible deployment is core to AVEVA’s Industrial AI agenda, and this role will balance **external engagement** with **internal governance**. Externally, you will work with customers, industry bodies, standards organisations, and public sector stakeholders to shape practical governance and accountability approaches for safe, secure, and sustainable AI in industrial operations, across regulated, safety- and mission-critical industrial environments. Internally, you will help to convert those expectations into scalable policies, controls, and decision processes that product and engineering teams can adopt. You will partner closely with our Product, Enterprise IT, Security, Sustainability, Legal, Risk and Talent and Learning teams, while remaining accountable for responsible deployment in **policy design, stakeholder engagement, and enterprise learning enablement**. **Key Responsibilities**1/ Responsible AI Governance, Operationalisation & Enablement * **Responsible AI principles and guidance:** Translate AVEVA’s Responsible AI Principles into practical guidance, operating procedures, standards and tools that enable consistent application across the AI lifecycle.* **Provide specialist input to the Responsible AI deployment framework:** Define and evolve policies, decision rights (RACI), review gates, exception processes, documentation standards and lifecycle controls working within AVEVA’s AI Governance structure. Ensure policy changes and controls are supported by appropriate learning pathways and adoption plans.* **Cross-functional alignment:** Coordinate across Security, Risk/Compliance, Sustainability, Legal and commercial teams to maintain a single, coherent governance approach and external message on responsible deployment of AVEVA’s AI working through AVEVA’s existing AI Governance structure.* **Organisational adoption:** Lead cross-functional efforts to socialise, communicate and embed AVEVA’s Responsible AI Principles across the organisation, building alignment, shared understanding and consistent adoption across business functions.* **Learning, Enablement & Capacity Building:** In partnership with Talent & Learning and Business Function AI Accelerators, define the Responsible AI learning strategy, learning metrics and role-based learning pathways. Translate Responsible AI governance requirements into onboarding content, communications, workshops and scalable digital learning programmes that build awareness, support adoption and reinforce responsible AI practices across the organisation. 2/ Responsible AI Deployment and Adoption *A) Products, Customers & External Engagement** **Customer co-development:** Lead strategic engagements with customers to co-design governance and accountability systems for safe, secure and sustainable AI deployment in their operations (risk assessments, control expectations, documentation/evidence packs, monitoring and incident response, accountability boundaries between vendor and operator).* **Public sector & regulator engagement:** Support dialogue with government and regulators; translate emerging expectations into clear implications for industrial AI deployment. Support the development and communication of AVEVA’s positions on Responsible AI policy, governance and industrial AI deployment.* **Industry and standards participation:** Represent the company in relevant forums (industry working groups, standards bodies and multi-stakeholder initiatives). Contribute practical input on accountability, assurance and deployment patterns grounded in industrial realities.* **External narratives and materials:** Develop external-facing guidance (whitepapers, position notes, playbooks and customer assurance packets) to explain how we deploy AI responsibly and how customers can operationalise governance.* **Embed governance into product delivery:** Partner with R&D/Portfolio to integrate governance into product delivery systems.* **Responsible deployment patterns:** Define and drive responsible deployment requirements (release criteria, human oversight, rollback plans, monitoring and incident response coordination) so governance is real in production, not theoretical.* **Regulated-sector readiness:** Ensure auditability, traceability, evidence generation, change control and third-party risk expectations are met for regulated customers.* **Metrics and continuous improvement:** Establish KPIs (e.g., deployment readiness, exceptions, time-to-remediate, control coverage) and feed lessons from customer engagements back into internal standards.* **Stakeholder Engagement and Policy Advocacy:** Actively engage with industry groups, regulatory bodies and technology partners to advocate for responsible AI practices. Represent the organisation in external forums to share insights, learn from global best practices and contribute to the evolution of Responsible AI governance and policy. *B) AVEVA Operations** Support the responsible adoption, procurement, deployment and use of AI across AVEVA’s operations in line with AVEVA’s Responsible AI Principles.* Provide guidance to business leaders and AI initiatives on balancing innovation, productivity, regulatory expectations, risk management and responsible outcomes.* Identify emerging risks, governance gaps and adoption challenges associated with enterprise AI use and develop practical mitigation approaches.**Essential Requirements*** 3-5+ years in technical policy, responsible AI governance, AI assurance/risk, trust & safety, security policy, or data governance roles, with an understanding of ethical considerations in AI and data practices.* Proven track record in **externally facing engagement** (customers, regulators, industry groups, standards)—with evidence of turning engagement outcomes into internal change.* Strategic Leadership and Policy Development: Proven ability to lead organizational strategy around Responsible AI, influence internal policies, and contribute to industry-wide standards.**Regulated sector exposure*** Demonstrable experience working in/with regulated or high-assurance environments (e.g., critical infrastructure, energy/utilities, pharma, transportation, financial services, public sector) and familiarity with assurance expectations (audits, controls, evidence, incident processes, change governance).**Technical and deployment fluency*** Advanced Technical Skills: Strong technical background to understand and critique complex AI and machine learning technologies, ensuring they align with ethical guidelines.* Practical understanding of deployment controls and operational governance (release criteria, monitoring, rollback, human oversight).**Communication and influence*** Effective Communication and Advocacy: Excellent communication skills can articulate complex AI and ethical concepts to diverse audiences, from technical teams to executive boards.* Ability to communicate credibly with engineering leaders and external stakeholders; excellent writing and briefing skills.* Collaborative and Influential Leadership: Skilled in working within matrix organisations and leading cross-functional teams. Ability to influence culture and implement change across traditional and non-traditional reporting lines.* Project Management and Implementation: Strong project management skills, with experience leading projects that combine practical and cultural elements to embed Responsible AI practices in business operations.**Desired Requirements*** Experience producing customer-facing assurance artefacts (control matrices, evidence packs, deployment playbooks).* Familiarity with OT environments and industrial cybersecurity considerations.* Participation in standards or multi-stakeholder processes.* Working knowledge of (or ability to learn quickly) NIST AI RMF and relevant ISO/IEC guidance; ability to translate them into implementable controls.