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

#J-18808-Ljbffr

Affine Project Manager Jobs

Latest Jobs

Technical Project Manager - GenAI/AI Delivery