Program Manager - IT Delivery

Required Skills & Experience

Senior-level Project or Program Management experience leading multiple concurrent technical projects Strong Scrum Master experience Experience working in SAFe Agile environments Experience managing or delivering AI/ML initiatives End-to-end project delivery experience from discovery through go-live Experience managing technical teams across data, analytics, engineering, AI, or software development Strong experience with Jira and Confluence Experience working with SAP or projects involving SAP data/integrations Ability to manage project scope, resources, dependencies, risks, milestones, and executive reporting Comfortable working directly with data scientists and data/analytics teams Ability to communicate between technical teams, business stakeholders, and executive leadership Strong understanding of Agile delivery, PI planning, and project/program governance

Nice to Have Skills & Experience

Experience with Planview or similar PMO/project portfolio management tools Experience in aerospace, automotive, manufacturing, or another complex engineering environment Exposure to Databricks Previous experience with engineering data or manufacturing-related systems PMP, Scrum Master, SAFe, or other relevant certifications Experience managing projects in highly structured enterprise PMO environments Local to the Hartford, CT area

Job Description

Description We are seeking an experienced Senior Project Manager with Scrum Master expertise to lead the end-to-end delivery of an Artificial Intelligence solution designed to automate part disposition assessments and streamline engineering workflows. This individual will manage multiple projects and coordinate across engineering, data and analytics, data science, business stakeholders, and technology teams. The solution will leverage historical disposition data across enterprise systems, including SAP and engineering applications, to reduce manual engineering effort, improve productivity, accelerate decision-making, and support adoption across multiple business programs. This is a technically focused Project Manager role. The ideal candidate does not need to be a hands-on developer or data scientist, but should be comfortable working closely with technical teams and understanding AI, data, analytics, and enterprise application environments. The Project Manager will own delivery from initial discovery through execution and go-live. This includes supporting early resource planning, technical discovery, scope definition, execution planning, PI commitments, delivery tracking, and reporting to both program leadership and executive stakeholders.