Technical Project Manager / AI Program Manager - AI/GenAI

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

“Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”