> Markdown version of [/jobs/ext/3758901-it-delivery-manager-ai-platforms](https://www.wearedevelopers.com/jobs/ext/3758901-it-delivery-manager-ai-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Delivery Manager - AI Platforms - **Company:** Vanguard - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Azure Machine Learning, AI Platforms, Data Analytics - **Published:** October 15, 2026 - **Apply:** http://www.vanguardjobs.com/job/24008625/it-delivery-manager-ai-platforms-charlotte-nc/?utm_medium=%22mcloud%2Djobads%22&utm_campaign=Technology&utm_content=IT%20Delivery%20Manager%20%2D%20AI%20Platforms&utm_term=183208 ## About the Role * 8+ years of experience in IT delivery, engineering management, or program delivery roles * Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. * 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 + Managing timelines, dependencies, and risks + 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 ## Description The Model Development team is responsible for managing and maintaining the implementation of AWS Sagemaker for traditional model development, used in critical systems across Vanguard. The team will also explore, recommend and make available a platform for Small Language Model (SLM) development. Lastly, this team has just released a homegrown Enhanced Learning and Support Agent (ELSA) to bend the support cost curve to enable AI/ML platforms to scale. This role serves as the IT Delivery Manager for the team and is accountable for driving the continued development, delivery, and adoption of these capabilities. As a shared service supporting multiple lines of business, this leader will ensure delivery is well-planned, transparent, and predictable, while fostering strong collaboration across engineering, product, and business stakeholders., * 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