Technology Manager

Tenarai; Kuala Lumpur; Hybrid; MYR 180.000 - 420.000; Vollzeit

Zusammenfassung

Tenarai in Kuala Lumpur seeks a Senior Technical Program Manager to lead end-to-end GenAI and Agentic AI initiatives across enterprise engagements, owning roadmaps, governance, budgets, and risk mitigation.

You will collaborate with solution architects, AI/data engineers, and business leaders to translate strategy into production deployments across onshore and regional offshore teams, while upholding responsible AI practices.

Qualifikationen

• 12+ years of IT delivery leadership experience.
• 2-3+ years hands-on delivery in Generative AI/Agentic AI.
• Fluent English with strong stakeholder management skills.

Aufgaben

• Lead end-to-end GenAI/Agentic AI program delivery across enterprise engagements.
• Own program roadmaps, governance, timelines, budgets, and risk mitigation.
• Collaborate with solution architects, data engineers and business leaders to translate strategy into production deployments.
• Manage onshore Malaysia and regional offshore delivery teams to ensure delivery excellence.
• Embed responsible AI principles, data privacy, security guardrails, and cost optimization.

Kenntnisse

GenAI & Agentic AI

Agile/Scrum

Stakeholder management

English proficiency

Distributed leadership

Ausbildung

Bachelor’s degree (or equivalent)

Tools

Microsoft Azure AI platform

Azure AI services

Azure Machine Learning

Power Platform

Jobbeschreibung

We are seeking an experienced Senior Technical Program Manager / Senior Delivery Manager with 12+ years of overall IT delivery experience, including 2-3+ years of dedicated expertise in Generative AI, LLM-based solutions, and Agentic AI.

In this role, you will lead the end-to-end delivery of complex enterprise GenAI and Agentic AI initiatives across multiple client engagements. You will own program roadmaps, delivery governance, timelines, budgets, resource management, and risk mitigation. You will collaborate with solution architects, AI/data engineers, and business leaders to translate high-level strategies into enterprise-grade production deployments.

Key Responsibilities

• GenAI & Agentic AI Program Delivery:
• Manage end-to-end delivery of enterprise GenAI solutions, including AI assistants, copilots, intelligent workflow automation, and enterprise conversational platforms.
• Lead Agentic AI implementations involving autonomous multi-agent orchestration, dynamic tool-calling, and business process automation.
• Oversee full AI lifecycle management: discovery, business case validation, PoCs, MVP delivery, and production scaling.
• Embed responsible AI principles, data privacy, security guardrails, token/cost optimization, and performance benchmarking across all engagements.
• Microsoft AI & Cloud Technology Stack:
• Guide technical delivery across Microsoft Azure AI ecosystems, including:
• Microsoft Copilot Studio and Microsoft 365 Copilot extensibility.
• Microsoft Agent Framework and Semantic Kernel.
• Azure AI Services, Azure Machine Learning, and Microsoft Fabric / enterprise data platforms.
• Power Platform, Power Automate, and modern enterprise integration layers.
• Microsoft Entra ID, enterprise access controls, and Azure security policies.
• Engage in architecture design sessions, validate technical roadmaps, assess risk, and challenge technical assumptions effectively.
• Client & Senior Stakeholder Engagement:
• Act as the primary technical delivery contact across multiple enterprise client accounts.
• Build long-term relationships with enterprise technology and business leaders (Steering Committees, C-level executives, and program sponsors).
• Translate complex AI/LLM concepts into clear, value-driven business language.
• Handle scope evolution, delivery trade-offs, critical path dependencies, and escalations.
• Partner with account teams to identify expansion opportunities for AI-led transformation.
• Team Leadership & Delivery Excellence:
• Lead, mentor, and align distributed, cross-functional engineering teams (solution architects, data engineers, AI developers, and business analysts).
• Steer seamless collaboration across onshore (Malaysia) and regional offshore delivery centers.
• Uphold engineering best practices, delivery quality, security compliance, and sprint cadence.
• Drive continuous operational efficiency, resource allocation balance, and delivery predictability.

Required Skills & Experience

• 12+ years of total IT experience across technical program management, project management, or technology delivery leadership.
• 2-3+ years of hands-on delivery experience with Generative AI, LLMs, RAG architectures, or Agentic AI systems.
• Strong conceptual and practical grasp of agentic workflows, multi-agent frameworks, vector search, and cloud-native integration patterns.
• Proven track record leading client delivery built on the Microsoft Azure AI platform.
• Strong grounding in Agile/Scrum, hybrid delivery governance, and multi-stream delivery frameworks.
• Substantial client-facing delivery experience, executive presentation capabilities, and escalation handling.
• Proven success managing distributed onshore/offshore teams across the APAC region.
• Fluency in English (professional, written, and spoken) with exceptional stakeholder management skills.
• Work Authorization: Must be legally eligible to work in Malaysia (Malaysian Citizen / Permanent Resident / valid open work authorization).

Preferred Qualifications

• Project/Program Management credentials (PMP, PMI-ACP, PRINCE2, or equivalent).
• Experience within top-tier IT consulting, enterprise systems integration, or digital delivery services.
• Direct exposure to pre-sales architecture, proposal writing, estimation models, and executive workshops.

Key Success Criteria

• Successful on-time, on-budget, and high-quality delivery of enterprise GenAI and Agentic AI portfolios.
• Consistent enterprise client satisfaction, referenceability, and account retention.
• Successful transition of client AI initiatives from sandbox PoCs to scalable, compliant production systems.
• High-performing, cohesive collaboration across geographically distributed delivery pods.
• Demonstrated ability to bridge business intent with advanced technical architecture and execution.