Technical Project Manager - GenAI/AI Delivery

Roles and Responsibilities

• Lead end‑to‑end delivery of AI, ML, and GenAI initiatives, from problem framing and planning through execution, deployment, and value realization
• Drive Agile execution by facilitating sprint planning, daily stand‑ups, sprint reviews, and retrospectives while continuously improving team processes and delivery velocity
• Establish Agile and Jira‑based project management practices in teams with low maturity, including defining ways of working, governance, and execution cadence
• Design and configure Jira from the ground up, including boards, workflows, issue hierarchies, custom fields, and reporting tailored to AI delivery needs
• Partner closely with data scientists, ML engineers, software developers, product owners, and business stakeholders to define scope, milestones, success metrics, and dependencies
• Own integrated project plans, risk management, dependency tracking, and communications across cross‑functional teams
• Oversee AI model development and delivery pipelines, including coordination of training, validation, deployment, and enterprise system integration
• Ensure alignment with enterprise data governance, security requirements, and responsible AI or ethical AI standards
• Monitor execution progress, manage budgets and resourcing, and communicate status, risks, and KPIs to senior leaders and sponsors
• Support post‑deployment model lifecycle activities from a delivery perspective, including monitoring, drift management, and retraining coordination
• Manage cross‑functional teams and ensure alignment between technical execution and business priorities
• Lead vendor and partner coordination as needed, including platform providers, tool vendors, and external model or solution partners
• Maintain strong focus on business outcomes by translating AI solutions into measurable operational, productivity, or financial impact

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field (or equivalent practical experience)
• Experience in technical project or program management, with at least 2 years delivering AI, ML, or GenAI initiatives
• Strong understanding of the end‑to‑end AI and ML lifecycle, including data preparation, model training, deployment, monitoring, and ongoing optimization
• Familiarity with GenAI concepts and technologies such as large language models, and prompt engineering
• Hands‑on experience implementing Agile practices and tooling, including standing up Jira workflows and delivery models from scratch
• Working knowledge of enterprise data and technology ecosystems, such as cloud data platforms, APIs, and integrations with ERP, LIMS, historians, or similar systems
• Proven ability to manage complex, cross‑functional teams and navigate technical and business stakeholder needs
• Excellent communication, facilitation, and leadership skills, with the ability to operate comfortably with engineers and senior executives alike
• Strong organizational and analytical skills, with a bias toward execution, transparency, and continuous improvement
• Demonstrated ability to connect technical delivery to business value and outcomes
• Willingness to work onsite in Wilmington, Delaware, at least 4 days per week