Technology Delivery Manager – AI Platforms

Role Overview

• Lead and develop a blended team of engineers (onshore and offshore), providing coaching, performance management, and career development while driving accountability for results
• Own end-to-end delivery of cloud-based and AI/ML platform initiatives, including continued development and scaling of capabilities such as AWS SageMaker and internally developed solutions
• Translate business and technology priorities into actionable delivery plans, including scope, dependencies, risks, and resource needs across a shared services model supporting multiple lines of business
• Establish and maintain strong delivery discipline through structured planning, tracking, and reporting (e.g., JIRA or similar tools) to ensure predictable and reliable outcomes
• Provide clear, data-driven communication to stakeholders and leadership on delivery status, timelines, risks, and overall progress
• Partner with engineering, product, and business teams to align on priorities, enable platform adoption, and ensure successful execution of cross-functional initiatives
• Proactively identify and mitigate risks, resolve blockers, and drive continuous improvement in delivery processes and team effectiveness
• Monitor and report on delivery performance, ensuring alignment with organizational goals and the scalability of platform capabilities
• Support operational planning, including staffing, resource allocation, and budget considerations
• Ensure adherence to technology, risk, and security standards while delivering high-quality, scalable solutions

Requirements

• Minimum of eight years related work experience, with at least five years of project management experience.
• Undergraduate degree or equivalent combination of training and experience.
• Graduate degree preferred.
• Proven people management experience leading engineering or technical teams
• Demonstrated ownership of end-to-end delivery outcomes (not just coordination or facilitation)
• Strong experience with: Delivery planning and forecasting Managing timelines, dependencies, and risks Communicating delivery status to senior leadership
• Experience working with Agile delivery teams and tools (e.g., JIRA)

Tech Stack

• AWS
• Cloud

Benefits

• hybrid working model
• professional development opportunities