Technical Policy Manager — Responsible AI Deployment

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

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 AVEVAs AI software products and for adoption of AI within AVEVAs 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 AVEVAs 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 AVEVAs 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 AVEVAs 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 AVEVAs AI working through AVEVAs existing AI Governance structure.

• Organisational adoption: Lead cross-functional efforts to socialise communicate and embed AVEVAs 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 AVEVAs 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 AVEVAs operations in line with AVEVAs 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 withan 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 AIinfluence internal policies and contributeto 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 skillscan articulatecomplex 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 matrixorganisationsand 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.

Find out more: Benefits include:

Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program.

Its possible were hiring for this position in multiple countries in which case the above benefits apply to the primary location. Specific benefits vary by country but our packages are similarly comprehensive.

Find out more: working

We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.

Hiring process

Interested Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

Find out more: AVEVA

AVEVA is a global leader in industrial software with more than 6500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life such as energy infrastructure chemicals and minerals safely efficiently and more sustainably.

We are committed to embedding sustainability and inclusion into our operations our culture and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may subject to those laws include proof of educational attainment employment history verification proof of work authorization criminal records identity verification credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.