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Nokia

AI Governance – Transformation Lead

Nokia

. Act as the principal interface between enterprise Responsible AI and AI Governance teams, Business Units and the AI Transformation PMO .

Posted 11/12/2026full-timeReading • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in Responsible AI and AI Governance, operationalizing frameworks into practical processes and controls while effectively communicating complex governance issues to senior stakeholders. Proven ability to track governance maturity and readiness indicators across global organizations.

Highest-signal resume keywords
Responsible AIAI GovernanceGovernance Framework OperationalizationTransformation PMOExecutive Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Lifecycle UnderstandingRisk ClassificationDecision RightsGovernance ProcessesData GovernanceProgramme GovernanceRAID ManagementDependency ManagementStakeholder InfluenceGovernance Maturity Tracking
Soft Skills
Executive-Level CommunicationConstructive ChallengeCollaboration
Certifications & Qualifications
Bachelor's DegreeMBAMSc
Industry Keywords
Global OrganizationsTechnology GovernanceCompliancePrivacySecurityRisk ManagementBusiness UnitsAI Assurance

About the role

Key responsibilities & impact
  • Act as the principal interface between enterprise Responsible AI and AI Governance teams, Business Units and the AI Transformation PMO
  • Operationalise the enterprise Responsible AI and AI Governance framework through practical controls, processes, decision points and accountabilities
  • Embed Responsible AI requirements across the AI lifecycle, including use-case intake, risk classification, assessment, approval, deployment, adoption and monitoring
  • Identify and address AI governance readiness, ownership, control and assurance gaps across Business Units
  • Coordinate Security, Privacy, Legal, Risk, Technology and other specialist functions
  • Maintain integrated views of AI governance risks, issues, control gaps, exceptions, approvals and decisions
  • Translate central governance requirements into practical Business Unit guidance
  • Track Business Unit readiness and adoption of governance processes
  • Integrate governance milestones, decisions and dependencies into the AI transformation plan
  • Plan and facilitate SteerCos, governance forums and executive reviews
  • Drive actions across Business Units and central functions through resolution
  • Provide senior leadership with evidence-based reporting on governance readiness, risks, adoption, decisions and transformation progress
  • Support transition of AI governance capabilities into sustainable enterprise and Business Unit operating models
  • Define and track AI governance maturity, readiness and adoption indicators
  • Produce decision-oriented reporting distinguishing on-track items, risks and required interventions

Requirements

What you’ll need
  • 15+ years of experience across transformation, programme governance, technology governance, risk or complex change in global organisations
  • Demonstrable recent experience in Responsible AI, enterprise AI Governance, AI assurance, data governance or closely related technology governance
  • Experience operationalising governance frameworks by converting principles and policies into practical processes, controls, decision rights and accountabilities
  • Good understanding of the AI lifecycle and governance considerations associated with assessing, approving, deploying, adopting and monitoring enterprise AI use cases
  • Strong experience working across Business Units and central functions, including Technology, Risk, Security, Privacy, Legal, Compliance or operational teams
  • Strong Transformation PMO and programme governance capability, including SteerCos, RAID and dependency management, decisions, actions, executive reporting and escalation
  • Proven ability to influence and constructively challenge senior stakeholders without direct organisational authority
  • Ability to translate complex governance and technology issues into clear business implications, options and recommendations
  • Experience operating in a large, global and highly matrixed organisation
  • Excellent executive-level written and verbal communication
  • Bachelor's degree or equivalent professional experience in technology, engineering, business or a related discipline
  • Relevant postgraduate qualifications such as an MBA or MSc are desirable

Benefits

Comp & perks
  • Full-time regular employment
  • Hybrid working arrangement