Engineering - Delivery Management Intern

DIRECTLY REPORTS TO:

Director, Engineering - Delivery

MAIN AREA OF RESPONSIBILITY:

• The primary responsibility of a Delivery Management Intern is to assist in the coordination, tracking, and execution of project deliverables across the software development lifecycle. The intern will work closely with project managers and technical teams to ensure milestones are met, documentation is up to date, and delivery processes are optimized through both traditional project management and AI-driven workflow enhancements.

TASKS:

• Assist in project tracking and reporting by updating internal dashboards and tools (e.g., Jira, ClickUp, or Azure DevOps) to ensure real-time visibility of project health.
• Support Agile ceremonies by helping organize and document daily stand-ups, sprint planning sessions, and retrospectives.
• Pilot the creation of workflow "mini-apps" and automation scripts using AI tools to streamline team handovers, automate repetitive administrative tasks, and ensure consistent workflow adherence.
• Monitor delivery metrics (such as velocity, cycle time, and burn-down charts) to help identify potential bottlenecks or delays.
• Maintain project documentation including risk logs, stakeholder contact lists, and project requirement documents to ensure clarity and knowledge sharing.
• Collaborate with cross-functional teams to facilitate communication between developers, QA, and stakeholders to ensure alignment on project goals.
• Perform process audits to identify opportunities for automation or improvement within the current delivery framework.
• Document findings, updates, and meeting minutes to ensure knowledge sharing and future reference.
• Participate in team meetings and other activities.
• Perform other tasks as assigned by the team.

QUALIFICATIONS | COMPETENCIES:

• Bachelor’s Degree in Information Technology, Computer Science, Business Management, or any related field.
• Familiarity with Agile/Scrum methodologies (preferred but not required).
• Strong organizational skills with an ability to manage multiple tasks and deadlines simultaneously.
• Interest or basic knowledge in AI tools (e.g., LLMs, low-code platforms, or prompt engineering) for process automation and project management software is a plus.
• Fresh graduates are welcome to apply.
• Basic understanding in written and oral communication skills.
• Basic analytical and critical thinking mindset.
• Proactive and a good collaborator.