Appealing Points:
- Serve as the central authority for AI governance, risk management, compliance, and policy oversight across the entire enterprise — spanning technology, infrastructure, security, cloud, and data analytics functions.
- Direct executive exposure: chair or lead AI Governance Boards, Review Committees, and Risk Forums, and serve as a trusted advisor to senior executives on AI-related governance and strategic decisions.
- Broad, high-impact scope covering AI, Generative AI, Machine Learning, Intelligent Automation, and AIOps — shaping governance for cutting-edge, enterprise-wide technology initiatives.
Annual Salary: 13.5 Million Yen and above
Job Responsibilities
- Develop and maintain the enterprise AI Governance Strategy, policies, standards, and operating model; define governance structures, decision-making forums, and escalation processes.
- Establish AI lifecycle governance (ideation through retirement) and controls supporting responsible adoption of AI-enabled operations and automation.
- Lead AI risk assessments (operational, security, compliance, legal, financial, reputational, model risk) and define processes for model validation, approval, and ongoing monitoring.
- Develop controls for AI explainability, accountability, auditability, and traceability, including oversight of autonomous operations and AI-driven decision-making.
- Partner with security, privacy, legal, and compliance teams to ensure regulatory compliance; define audit/reporting mechanisms and support internal/external audits.
- Define data governance requirements (quality, lineage, ownership, retention, stewardship) supporting AI models, including managing data bias and quality issues.
- Define governance metrics/KPIs and reporting standards; oversee governance of predictive analytics, intelligent automation, AIOps, and self-service solutions.
- Establish governance and due diligence processes for AI-related vendors and third-party providers, including contractual and risk assessment requirements.
- Chair/lead AI Governance Boards, Review Committees, and Risk Forums; provide executive reporting; educate stakeholders on responsible AI practices.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Law, Risk Management, or a related discipline.
- 12+ years of experience in enterprise technology, governance, risk management, compliance, security, architecture, or operational leadership.
- 5+ years of experience governing AI, analytics, automation, digital transformation, or emerging technology programs.
- Proven experience developing enterprise governance frameworks, policies, standards, and operating models.
- Experience within complex, multi-vendor, large-scale managed services or enterprise environments.
- Demonstrated success influencing executive stakeholders and leading cross-functional governance initiatives.
- Strong understanding of AI, ML, Generative AI, Predictive Analytics, Intelligent Automation, and AIOps.
- Deep knowledge of AI governance principles, model risk management, and AI lifecycle controls.
- Experience implementing governance frameworks for enterprise technology platforms and cloud environments.
- Understanding of data governance, data quality management, metadata management, and data protection controls.
- Familiarity with IT Service Management, operational governance, and enterprise transformation programs.
- Knowledge of cloud platforms, enterprise monitoring, analytics platforms, and automation toolsets.
- Understanding of security controls, privacy requirements, and regulatory considerations affecting AI solutions.
- Strong executive communication, stakeholder management, facilitation, negotiation, and decision-making skills.
- Proven ability to establish enterprise-wide governance programs and drive organizational adoption.
- Experience leading governance councils, steering committees, and executive review boards.
Preferred Qualifications
- Relevant governance, risk, compliance, or AI governance certifications.
Language Required: Business level Japanese and Business level English
Company Description:
This company is one of the largest IT consulting companies in Europe, with more than 200,000 employees based in locations in over 40 countries.
As a global leader in consulting, technology services and digital transformation, they were established in 2013 as a Japanese corporation of the world's leading IT consulting company at the forefront of innovation, and they offer a wide range of integrated services with the highest level of technology and abundant expertise.
[Passive smoking measures]
Indoor smoking
Designated smoking area
. Skillset Required: AI governance, Risk management, Compliance, Policy oversight, Technology governance, Infrastructure governance, Security governance, Cloud governance, Data analytics governance, AI lifecycle governance, AI risk assessments, Model validation, Model approval, Model monitoring, AI explainability, Accountability, Auditability, Traceability, Autonomous operations oversight, AI-driven decision-making, Regulatory compliance, Audit reporting, Data governance, Data quality, Data lineage, Data ownership, Data retention, Data stewardship, Data bias management, Governance metrics, KPI reporting, Predictive analytics governance, Intelligent automation governance, AIOps governance, Self-service solutions governance, Vendor governance, Third-party risk assessment, Contractual risk management, Executive reporting, Stakeholder education, Enterprise governance frameworks, Enterprise technology governance, Architecture governance, Operational leadership, AI lifecycle controls, AI risk management, Multi-vendor environment experience, Managed services experience, Cloud platforms knowledge, Enterprise monitoring, Analytics platforms, Automation toolsets, IT Service Management, Operational governance, Privacy requirements, Regulatory considerations, Executive communication, Stakeholder management, Facilitation, Negotiation, Decision-making, Governance programs establishment, Organizational adoption, Governance councils leadership, Steering committees leadership, Executive review boards leadership
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