IT Delivery Manager - AI Platforms

Vanguard•Malvern, PA

19h•Hybrid

About The Position

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

8+ years of experience in IT delivery, engineering management, or program delivery roles
Undergraduate degree or equivalent combination of training and experience.
Proven people management experience leading engineering or technical teams (required)
Demonstrated ownership of end-to-end delivery outcomes (not just coordination or facilitation)
Strong experience with Delivery planning and forecasting
Strong experience with Managing timelines, dependencies, and risks
Strong experience with Communicating delivery status to senior leadership
Experience working with Agile delivery teams and tools (e.g., JIRA)
Excellent leadership, communication, and stakeholder management skills
Experience delivering solutions on cloud platforms (primarily AWS; Azure exposure a plus)
Working experience with AI/ML platforms, preferably SageMaker

Nice To Haves

Graduate degree preferred.
Azure exposure a plus

Responsibilities

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