Technical Policy Manager — Responsible AI Deployment

Remote Worker LTD.; Greater London; Hybride; GBP 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Flexible benefits

Hybrid working

Pension/Life cover

Résumé du poste

AVEVA is seeking a Technical Policy Manager - Responsible AI Deployment to lead our responsible AI deployment agenda for AVEVA’s AI software products and for adoption of AI within AVEVA’s operations. You will translate principles into governance, learning programmes and deployment standards, helping build a shared understanding of what Responsible AI means for AVEVA and its stakeholders.

Externally, you will engage with customers, regulators, industry groups and public sector bodies to shape

Qualifications

• 3–5+ years in technical policy, responsible AI governance, AI assurance/risk, trust & safety, security policy, or data governance.
• Proven ability to engage externally with customers, regulators, industry groups and standards bodies.

Responsabilités

• Lead Responsible AI governance, operationalisation and enablement.
• Define policy frameworks, decision rights (RACI) and governance controls.
• Drive external engagement with customers, regulators, industry groups and standards.
• Embed governance into product delivery and enterprise learning.
• Develop external guidance and internal learning content to support responsible AI deployment.

Connaissances

Tech policy

External engagement

Policy development

Regulated environments

AI governance

Description du poste

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 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, 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 AI,influence 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: https://www.aveva.com/en/about/careers/

UK 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.

It’s possible we’re 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: aveva.com/en/about/careers/benefits/

Hybrid 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