Job Summary

We are seeking an experienced Engineering Delivery Manager to lead engineering delivery and operational excellence for AI-driven projects and solutions. The successful candidate will be responsible for defining engineering strategies, managing project delivery, coordinating cross-functional teams, ensuring adherence to quality standards, and delivering projects on time and within budget.

Key Responsibilities

Define and lead engineering and operational strategies, including processes, practices, and tools for AI-related projects.
Ensure high-quality project delivery while meeting established timelines and budget objectives.
Manage project planning, milestone reviews, risk assessments, and progress tracking throughout the development lifecycle.
Build and maintain strong relationships with internal and external stakeholders to align project objectives with business needs.
Identify and resolve project bottlenecks to optimize workflow efficiency and value delivery.
Mentor and develop AI Delivery Managers and project teams through coaching and professional development initiatives.
Promote engineering excellence, innovation, continuous improvement, and knowledge-sharing practices.
Coordinate resources, establish priorities, and ensure effective project execution across multiple teams.
Support governance, reporting, and performance management activities.

Engineering Skills

Proven experience leading engineering teams delivering complex software products and technology projects.
Strong expertise in Lean Management and Agile methodologies.
Experience applying collaborative co-engineering and cross-functional development practices.
Strong understanding of complex, multi-component system architectures.

Technical Skills

Minimum 5 years of experience in Project Management and Software Delivery.
Proficiency with Jira, Confluence, Trello, or similar project management tools.
Experience designing secure, scalable, and high-performance data architectures for AI solutions.
Experience working closely with Data Scientists, AI Engineers, Software Engineers, and Solution Architects.
Expertise in defining, monitoring, and improving project performance indicators and KPIs.
Ability to make informed decisions within complex technical and mission-critical environments.
Strong understanding of cybersecurity, governance, and data sovereignty requirements.

Qualifications

Bachelor’s Degree in Engineering, Computer Science, Information Technology, or a related field.
Minimum 12+ years of overall professional experience.
Proven experience managing engineering delivery, software development, or AI-related projects.

Please send your resume/CV