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Manager - AI Architect & Governance
Location
Corporate H/O- 9th floor
Closing Date
31/10/2026
Description

Group Analytics & AI | Corporate Head Office

Are you passionate about building trusted, secure and responsible AI ecosystems?

At Dialog, we are building the governance foundation required to scale AI responsibly across the enterprise. As we accelerate our transformation into an AI-native organization, we are looking for a highly capable Architect – AI & Data Governance to establish, operationalize, and continuously enhance enterprise-wide AI governance, architecture assurance, compliance, and risk management practices.

This role is ideal for professionals passionate about the intersection of AI, technology architecture, governance, risk, compliance, and responsible AI, helping ensure that AI solutions are secure, compliant, scalable, and aligned with business and regulatory requirements.

Key Responsibilities

  • Drive the implementation and operationalization of the organization's AI Governance Framework, policies, standards, and controls.
  • Establish and manage enterprise AI asset inventories, AI tool inventories, AI system inventories, AI service registries, AI use-case registries, and governance processes.
  • Lead enterprise-wide AI governance operations, including AI registration, governance monitoring, Shadow AI management, governance reporting, and compliance assurance activities.
  • Drive AI tool onboarding, assessment, whitelisting, and blacklisting processes in collaboration with Cybersecurity, Risk, Compliance, and IT teams.
  • Define and govern controls for AI Agents, Copilots, Agentic AI systems, and autonomous workflows, including human oversight, accountability, delegation limits, and auditability requirements.
  • Review and govern AI, analytics, and data solution architectures to ensure alignment with enterprise architecture, security, governance, and regulatory standards.
  • Facilitate architecture reviews and provide guidance on scalable, secure, resilient, and compliant AI solution design.
  • Embed governance controls across the AI development lifecycle, including MLOps, model registries, traceability, monitoring, deployment controls, and lifecycle management practices.
  • Support Responsible AI initiatives covering fairness, explainability, transparency, accountability, bias mitigation, and risk management.
  • Conduct AI risk assessments, maintain AI risk classification frameworks, and coordinate AI security governance activities, including AI threat modelling, adversarial testing oversight, and secure AI lifecycle controls.
  • Coordinate with Legal, Compliance, Risk, Cybersecurity, and IT teams to ensure AI solutions meet regulatory, privacy, security, and policy requirements.
  • Support the implementation, operationalization, sustainability, and continuous improvement of the ISO/IEC 42001 AI Management System and certification program.
  • Drive the implementation of AI governance platforms, model registries, approval workflows, governance automation, audit management, and compliance monitoring capabilities.
  • Develop governance scorecards, executive dashboards, risk indicators, and management reporting to provide visibility into AI risks, compliance posture, governance performance, and portfolio health.
  • Support governance reviews of AI vendors, AI-enabled SaaS solutions, foundation models, third-party AI service providers, and outsourced AI solutions.
  • Partner with executive stakeholders to operationalize and continuously enhance Dialog's Enterprise AI Governance Program across organizational, portfolio, employee, and cyber AI governance domains.
  • Provide advisory support to project teams on AI governance, architecture, security, risk, and compliance requirements.
  • Promote enterprise-wide awareness and adoption of AI governance standards, Responsible AI practices, and governance best practices.
Entry Requirements

What are we looking for

  • A Degree in Information Technology, Computer Science, Engineering, Data & Analytics, or a related discipline.
  • 6 + years of experience in AI, Data Engineering, Analytics Platforms, Software Engineering, MLOps, DevOps, Technology Architecture, or AI Governance roles.
  • Strong understanding of AI Governance Frameworks, Responsible AI principles, AI risk management, and model governance practices.
  • Knowledge of AI regulatory requirements, privacy regulations, AI security controls, third-party AI risk assessments, and ISO/IEC 42001 standards.
  • Experience in managing AI inventories, AI governance operating models, AI use-case governance, and Shadow AI monitoring programs.
  • Understanding of governance controls for AI Agents, Copilots, Autonomous Systems, MLOps Governance, Model Registries, Auditability, and Traceability.
  • Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with architecture governance, software development practices, CI/CD, and data platform technologies.
  • Strong leadership, stakeholder management and influencing skills, with the ability to drive governance adoption across diverse business and technology teams.

Why Join Dialog?

  • Play a key role in shaping and governing the future of Enterprise AI at scale.
  • Drive industry-leading initiatives in Responsible AI, Agentic AI Governance, and ISO/IEC 42001 implementation.
  • Work alongside business, technology, cybersecurity, risk, and compliance leaders across the organization.
  • Gain exposure to cutting-edge AI platforms, governance technologies, and enterprise transformation programs.
  • Build a specialized career path in one of the fastest-growing disciplines within enterprise technology.

Be part of Dialog's journey to build trusted, responsible, and scalable AI that creates value for customers, employees, and the business.

Key Skills
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