Delivery Manager

Role Overview

• Own day-to-day delivery cadence and team operations.
• Accountable for team planning, work management and resource allocation to ensure continuous delivery velocity while maintaining flexibility for priority shifts, aligned with business needs.
• Manage continuous flow and changing priorities.
• Operate effectively in a high-visibility environment where requirements and business priorities may shift frequently.
• Implement Kanban practices to visualize work, limit work-in-progress, and optimize flow across the team.
• Establish team structure and dynamics.
• Ensure that team members understand current priorities, their roles and responsibilities, foster good working relationships, and resolve conflicts swiftly to maintain momentum.
• Facilitate Agile/Kanban ceremonies and practices.
• Lead daily standups, backlog refinement, retrospectives, and other ceremonies.
• Track team-level metrics (cycle time, throughput, burndown) and use data to drive continuous improvement.
• Build team capability in Kanban principles and Agile practices.
• Identify, manage, and mitigate impediments.
• Act as a shield for the team by identifying and removing blockers, escalating issues to appropriate owners, and managing risks with particular emphasis on timely resolution to maintain delivery flow.
• Scale delivery for larger initiatives.
• Contribute to thought leadership and strategic alignment.
• Engage with stakeholders to educate on data and analytics capabilities.
• Drive process optimization and innovation.
• Be AI ready. Adapt and embrace AI potential for process improvement and change.

Requirements

• University degree in computer science, data science, or related technology degree/diploma.
• 5+ years of experience as a delivery manager, technical lead, or equivalent experience in software/data delivery environments.
• 3+ years of hands-on experience with Agile methodology (Kanban / Scrum), including metrics tracking, work-in-progress limits, flow optimization, and continuous improvement practices.
• 3+ years of IT project management experience or strong familiarity with Software Development Life Cycle (SDLC) and delivery best practices.
• Experience managing small to medium-sized engineering teams (3-10 people) in fast-paced, high-visibility environments.
• Understanding of Generative AI(GenAI) capabilities with ability to identify and evaluate opportunities for business value creation and problem-solving.
• Knowledge of data pipeline, ETL, or data engineering concepts.
• Understanding or hands-on experience in an AWS Cloud Computing environment.
• Ability to describe complex concepts and put them into action.
• Highly collaborative, excellent verbal and written communication skills.
• Strong business acumen with demonstrated ability to solve business problems through data-driven methodologies supported with GenAI capabilities.
• Ability to liaison between different business units and tech teams to plan and deliver complex projects with multiple moving pieces.
• Passion for GenAI, data and analytics as a career and a willingness to constantly self-educate to stay relevant and keep track of trends in the data space.

Tech Stack

• AWS
• Cloud
• ETL
• SDLC

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities