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:
- Proven experience leading software delivery as a Delivery Manager, Engineering Manager, Project Manager, Scrum Master, or an equivalent leadership role.
- Demonstrated ability to manage multiple delivery teams, ensuring alignment, velocity, and high-quality output across units.
- Deep understanding of Agile frameworks (Scrum, Kanban, hybrid models) and experience applying them in real-world delivery environments.
- Hands-on experience establishing and running delivery governance processes (risk tracking, issue escalation, reporting, change control).
- Experience in delivery planning, capacity planning, release scheduling, and roadmap alignment.
- Proven ability to manage priorities across multiple units or teams, ensuring dependencies are resolved and timelines are met.
- Demonstrated expertise in identifying delivery risks, implementing mitigation plans, and resolving blockers across teams.
- Experience driving quality assurance through metrics, adherence to processes, and continuous improvement practices.
- Strong stakeholder management skills, including expectation alignment, scope negotiation, and handling delivery risks or changes with customers and internal teams.
- Ability to facilitate complex discussions between business, product, and engineering stakeholders to ensure delivery clarity.
- Excellent communication skills in English (written and verbal), capable of translating technical concepts for non-technical audiences.
- Strong facilitation and conflict-resolution skills, especially in fast-moving or ambiguous delivery environments.
- Proficiency in tracking KPIs, OKRs, delivery metrics, and team performance data to support decision-making and improve predictability.
- Solid understanding of software development workflows, engineering practices, and product delivery life cycles.
- Ability to collaborate effectively with engineering, product, QA, and business units to ensure delivery success.
- Experience with AI-assisted development, LLMs, or workflow automation.
- Background in software engineering, architecture, or technical leadership.
- Experience with DDD or enterprise-level delivery.
- Previous experience leading distributed or cross-cultural teams.
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.
- Strategic mindset with the ability to balance long-term goals with short-term execution needs.
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.
- Company trips, sponsored team-building activities, monthly Happy Hour, Sports Clubs (Soccer, Badminton, Pingpong), and other enjoyable events.
- A culture of continuous learning with free courses in specialized skills, soft skills, and English.
- Technical-certificate fee sponsorship.
