Delivery Lead
AI in this role
Job Purpose
To lead the end-to-end delivery of software engineering initiatives by ensuring the timely, high-quality, and efficient execution of projects across multiple product streams. The role is responsible for driving delivery governance, Agile execution, cross-functional collaboration, resource planning, and continuous improvement to achieve business objectives while ensuring compliance with organizational policies, industry best practices, and applicable regulatory requirements.
Key Result Responsibilities
Delivery & Execution
- Own end-to-end delivery of software projects from discovery through release.
- Ensure projects are delivered on time, within scope, and aligned with business objectives.
- Monitor sprint progress, velocity, and release planning.
- Remove delivery blockers and escalate risks appropriately.
- Drive predictable delivery through structured planning and governance.
Agile Leadership
- Champion Agile/Scrum/Kanban practices across teams.
- Facilitate planning sessions, retrospectives, and delivery reviews.
- Ensure backlog readiness in collaboration with Product Owners.
- Promote continuous improvement culture.
Stakeholder Management
- Act as the primary interface between Engineering, Product, Business, and external stakeholders.
- Provide transparent reporting on milestones, risks, and dependencies.
- Manage expectations across executive leadership and cross-functional teams.
Key Result Responsibilities-Continued
Resource & Capacity Management
- Work with Engineering Managers to manage capacity planning.
- Forecast resource needs and identify skill gaps.
- Optimize team allocation across initiatives.
Risk & Dependency Management
- Identify cross-team dependencies and delivery risks early.
- Develop mitigation plans and contingency strategies.
- Ensure compliance with governance and security standards.
Quality & Performance
- Drive adherence to engineering best practices (CI/CD, code reviews, testing).
- Monitor delivery metrics such as lead time, cycle time, defect leakage, and release stability.
- Support post-implementation reviews and continuous improvement.
Qualifications (Academic, training, languages)
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Fluent in English Language
- Proficient in Microsoft Office.
- Strong understanding of Agile methodologies, including Scrum and Kanban, and the Software Development Life Cycle (SDLC).
- Experience managing distributed, cross-functional, and multidisciplinary engineering teams across multiple initiatives.
Work Experience
- 8+ years of engineering experience, including at least 3 years as a Lead or Senior IC, with demonstrated people-management experience for at least one squad.
- Strong engineering background across full-stack, cloud, and delivery practices.
- Fluent in Agile delivery, DORA metrics, and product-engineering partnership.
- Understands architecture and can hold their own with Software Architects.
- Comfortable making trade-offs between people, product, and platform investments.
- Experienced people manager: hiring, calibration, coaching, and difficult conversations.
- Runs a healthy operational cadence (1:1s, retros, planning, staffing).
- Excellent written and verbal English; comfortable communicating.
How we rate this
Delivery Lead at Air Arabia rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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