Technical Policy Manager — AI Deployment

AVEVA is creating software trusted by over 90% of leading industrial companies.

Location:

London or Cambridge, UK
- Hybrid (50% working time at the office)

Employment Type:

Full time, Permanent

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.

• 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.

• 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…