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.

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
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.

Benefits

Health insurance
Flexible work arrangements
Professional development opportunities
Bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Agile methodologyKanbanScrummetrics trackingwork-in-progress limitsflow optimizationcontinuous improvementSoftware Development Life Cycle (SDLC)data pipelineETL

Soft Skills

collaborationverbal communicationwritten communicationbusiness acumenproblem-solvingteam managementconflict resolutionstakeholder engagementthought leadershipinnovation