The AI Delivery Manager is responsible for leading high-performance software delivery teams operating under the AI-Driven Development approach. This role ensures consistent QCD (Quality, Cost, Delivery) performance, drives strategic alignment with business objectives, manages customer expectations, and guarantees that AI-powered processes and tools are adopted effectively across all teams. The AI Delivery Manager acts as both a delivery leader and a process expert, enabling teams to achieve exceptional productivity through AI, automation, and modern engineering practices.

Key Responsibilities:

• Delivery Leadership & Execution
• Lead the end-to-end project delivery lifecycle, ensuring execution excellence from roadmap validation to release.
• Manage and empower all delivery teams within the assigned division, promoting high performance, clear objectives, and healthy team culture.
• Own QCD (Quality, Cost, Delivery) results by ensuring strong product quality, realistic delivery plans, and efficient cost oversight.
• Oversee planning, prioritization, execution, and delivery tracking to ensure predictable and transparent outcomes.
• Continuously monitor productivity, process health, and team performance; implement operational improvements to optimize flow and output.
• Identify and manage program-level risks early, establish mitigation strategies, and maintain transparent communication with stakeholders.
• Remove blockers, facilitate conflict resolution, and maintain smooth, stable delivery flow across teams.
• Stakeholder & Client Management
• Serve as the primary point of contact for clients and business stakeholders, ensuring alignment, clarity, and strong communication.
• Act as the key escalation owner for delivery issues, ensuring timely decisions and appropriate stakeholder updates.
• Lead critical customer negotiations, set and manage delivery expectations, and ensure high customer satisfaction, including NPS measurement and follow-up improvements.
• AI-Driven Delivery Excellence
• Drive full adoption of AI-Driven Development practices across teams, including the use of LLMs, agents, automations, and internal AI tools throughout the lifecycle.
• Assess and validate AI-generated outputs to ensure accuracy, quality, and responsible use of AI in delivery workflows.
• Lead continuous improvement of AI-enhanced delivery standards, processes, guidelines, and best practices across the organization.
• Cross-Functional Leadership & Organizational Enablement
• Collaborate with Sales and Business teams to manage the delivery pipeline, forecast demands, and optimize resource planning.
• Support recruitment, onboarding, and capability development of delivery teams, including performance evaluation, competency development, and career growth planning.
• Foster cross-team alignment and collaboration to ensure coherent execution and organizational scalability.

Required Qualifications:

Core Technical Skills (Hard Skills):

• Strong understanding of delivery processes, backlog management, roadmap planning, and capacity forecasting.
• Knowledge of AI-Driven Development lifecycle, including spec-driven workflows, prompt engineering, AI-generated code, and AI-assisted testing.
• Familiarity with software architecture concepts, quality assurance, CI/CD practices, and technical risk assessment.
• Advanced capability in program-level risk management, including identification, probability/impact analysis, mitigation planning, and communication.
• Ability to analyze productivity, delivery metrics, and team performance to guide strategic improvements.

Core Behavioral Skills (Soft Skills):

• Strong leadership and team-building skills, with the ability to motivate and guide multiple teams.
• Excellent communication and negotiation abilities with both technical and non-technical stakeholders.
• High accountability and ownership, ensuring commitments are met and risks are handled proactively.
• System thinking and the ability to manage complexity across roadmap, teams, and dependencies.
• Conflict resolution and the ability to navigate difficult discussions professionally.
• Adaptability, curiosity, and willingness to learn and integrate new AI practices continuously.
• Empathy, emotional intelligence, and a commitment to developing people and fostering a healthy team culture.

Benefits:

• 5 working days per week (Monday to Friday) with flexible working hours.
• 2 days of remote WFH (Work From Home) per week.
• Lunch and monthly gasoline allowance.
• Health, Social, and Unemployment Insurance (based on full contractual salary, in accordance with the Labor Code), PVI Health Insurance, and an annual health checkup.
• 13th-month salary, performance bonus, and annual salary review.
• 12 days of annual leave plus an additional 2 days of company leave, along with national holiday leaves.