IT Director

1.  ITStrategy & Transformation Leadership

• Define and own a multi-year global IT roadmap aligned with business growth strategy and international expansion. 

• Lead enterprise-wide digital transformation programs — from process automation and platform modernization to AI/ML adoption. 

• Drive the establishment and evolution of global AI enabled internal engineering teams, setting standards for quality, productivity, metrics, and process change management. 

• Represent IT strategy at Board, C-suite, and investor level; translate technology investment into measurable business value. 

• Champion a cloud-native, automation-first, and data-driven approach across all corporate technology perimeters. 

2.  Infrastructure, AI Platform & Future-Ready Architecture

• Own the design, reliability, and evolution of global IT infrastructure across cloud (AWS / Azure / GCP), hybrid, and on-premises environments — with a mandate to modernize continuously. 

• Lead the establishment of a modern enterprise AI platform — including LLM infrastructure, inference pipelines, vector databases, and model lifecycle management — enabling AI-native internal tooling and workflows. 

• Architect and deploy Model Context Protocol (MCP) server infrastructure, enabling secure, governed, and scalable integration of AI agents with internal business systems, data sources, and APIs. 

• Drive adoption of agentic AI workflows across the organization — designing the orchestration layer, tool-use frameworks, and guardrails that allow AI systems to operate safely in production. 

• Build and govern the internal developer AI ecosystem: self-hosted or managed LLM endpoints, prompt management platforms, RAG pipelines, and AI observability tooling. 

• Define the enterprise approach to emerging infrastructure paradigms — including edge computing, event-driven architecture, real-time data streaming, and AI-augmented ITSM. 

• Execute global standardization of Disaster Recovery Planning (DRP) and IT Business Continuity Planning (BCP), incorporating AI system dependencies and recovery scenarios. 

• Own IT audit readiness; manage relationships with regulators, external auditors, and security bodies. 

3.  PlatformOwnership & Enterprise Systems

• Own the full corporate IT platform ecosystem — ERP, HRIS, ITSM, DevOps tooling, BPM, and collaboration platforms. 

• Drive integration architecture between business-critical systems to eliminate manual touchpoints and enable seamless data flows. 

• Lead centralized architectural quality assurance for all new solutions at global level. 

• Oversee full CI/CD pipeline integration and SDLC standardization across software development and data engineering. 

• Lead the enablement of corporate IT templates and standards when integrating new offices, acquisitions, or business units. 

4.  TeamLeadership & Organizational Development

• Build, lead, and develop a high-performing, globally distributed IT organization — including AI enabled engineering teams, infrastructure, and support functions. 

• Define team KPIs, performance frameworks, and capability development programs; drive succession planning. 

• Foster a culture of ownership, continuous improvement, and customer-centric service delivery. 

• Act as the senior IT partner to Engineering, Product, Finance, and People functions; represent IT interests at the leadership table. 

5.  Portfolio, Budget & Vendor Management

• Own and manage the global IT project portfolio — including planning, forecasting, prioritization, and reporting to senior management. 

• Own the IT budget (CAPEX and OPEX), ensuring cost-effective investment decisions, ROI accountability, and benchmark-driven optimization. 

• Lead strategic vendor relationships, SLA governance, and contract lifecycle management at global scale. 

Experience 

• 15+ years in technology leadership, with a strong track record spanning IT strategy, digital transformation, and global operations. 

• Background across diverse industries (financial services, retail, manufacturing, telecom, or tech). 

• Demonstrated experience leading IT CoEs, transformation programs, and multi-entity IT governance in large, matrixed organizations. 

• Proven ability to build programs from scratch — including data governance, AI/ML CoEs, change management, and RPA practices. 

• Experience managing complex, multi-stakeholder programs with cross-border delivery accountability. 

 Technical Depth 

• Strong command of cloud infrastructure (AWS, Azure, GCP), hybrid architecture, and enterprise integration patterns. 

• Hands-on understanding of modern AI infrastructure — LLM deployment, inference optimization, vector stores, RAG pipelines, and AI observability. 

• Familiarity with Model Context Protocol (MCP) and agentic AI frameworks and the infrastructure required to run them securely at scale. 

• Working knowledge of SDLC, CI/CD automation, DevOps practices, event-driven architecture, and real-time data streaming. 

• Experience with enterprise platforms: ERP, HRIS, ITSM, BPM, and AI-augmented tooling ecosystems. 

Competences:

• Strategic Execution — crafts and delivers multi-year IT roadmaps with clear business impact. 

• Transformation Leadership — leads complex, organization-wide change with structure, pace, and buy-in. 

• Data & AI Orientation — champions data-driven decision-making and intelligent automation at scale. 

• Stakeholder Influence — builds trusted partnerships from Board level to front-line teams. 

• Commercial Acumen — manages IT investment with a business-outcome and benchmark mindset. 

• Operational Excellence — instills quality standards, metrics frameworks, and continuous improvement culture. 

• Resilience & Risk Awareness — anticipates technology and security risks; builds organizational resilience. 

• Multilingual Communication — ability to operate across diverse cultural and organizational contexts. 

Success measures:

• Global IT teams performing as end-to-end AI enabled vertical pods delivering proven business value according to set objectives. 

• Platform roadmap milestones delivered on time and on budget, with confirmed business value outcomes. 

• Data governance program live and delivering measurable commercial impact. 

• Infrastructure adapted to meet future technological trends. 

• Vendor portfolio optimized; cost efficiency improvements documented against prior baseline. 

• Strategic relationships established with core vendors (Microsoft, Atlassian, etc.) in scope of internal automation. 

• IT team engagement and retention above company average; strong internal talent pipeline in place. 

• Successful completion of all internal and external audits with no material findings. 

 Education 

• Master’s degree in Business, Management, Engineering, or a related technical discipline. 

• MBA or equivalent executive management qualification is a strong plus. 

• Relevant certifications (CISA, CISSP, ITIL, PMP, AWS/Azure Architect, CDMP) are advantageous.