AI Governance Lead

About the role

The AI Enablement team in Konecranes' Digital Center of Excellence is looking for an AI Governance Lead in Hyvinkää. The role makes responsible AI practical: helping the company use and scale AI securely, compliantly and with clear accountability, without turning governance into unnecessary friction. It is a hands-on, cross-functional lead position reporting to the Director, AI Enablement.

Key responsibilities

• Shape and run practical AI governance: develop and improve AI instructions, usage guidelines, decision rights, risk tiering, controls and accountability, and embed it in existing risk, security, privacy, architecture, procurement and delivery processes.
• Lead AI triage and risk assessment for new features, applications and use cases, covering operational, security, data, model and third-party risks, and support incident handling.
• Turn requirements into technical and operational guardrails, working with architects and engineers on identity and access, data flows, API and tool permissions, logging, monitoring and human oversight.
• Govern third-party AI and emerging technologies, supporting vendor and SaaS assessments and defining expectations for external models and composable AI components.
• Build capability and communicate risk: act as a trusted advisor, deliver training and guidance, and report AI risk posture and key decisions to senior stakeholders.

Required profile

• About 7+ years of experience in AI, software engineering, information security, enterprise architecture, technology risk, governance or assurance in a complex organization.
• Solid understanding of generative AI, AI agents, data, models, prompts, retrieval, tools, APIs and human oversight.
• Knowledge of the EU AI Act, GDPR and frameworks such as NIST AI RMF, ISO 27001 and OWASP guidance for LLM and agentic applications.
• Ability to turn regulatory, risk or security requirements into proportionate controls and plain-language explanations for engineers, business leaders and control functions.
• Nice to have: background in AI/ML engineering, information security or enterprise architecture; experience assessing cloud-based AI services; experience in a global industrial environment; fluent Finnish is a plus.

Applications are submitted in English via the company careers page with a resume and a cover letter, by 2 December 2026 at the latest.