Product owner- AI &ML

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 12 Month(s)

Skills

Machine Learning (ML)
Artificial Intelligence
Machine Learning Operations (ML Ops)
PMP
Product Ownership
Project Management
Data Science
Computer Science
Amazon Web Services
AI
ML

Job Details

Job Title: Product Owner / Project Manager AI/ML
Location: Charlotte, NC (Hybrid)
Position Type: Contract -W2

Job Summary:

We are seeking an experienced Product Owner/Project Manager with strong AI/ML domain expertise to lead the planning, development, and delivery of innovative AI-driven products and solutions. This hybrid role requires a unique blend of strategic thinking, technical understanding of AI/ML capabilities, and strong project execution skills. The candidate will collaborate with data scientists, engineers, stakeholders, and business partners to deliver impactful machine learning solutions aligned with business objectives.

Key Responsibilities:

Act as the primary liaison between business stakeholders and technical teams for AI/ML initiatives.

Own and manage the product backlog, define user stories, and prioritize features based on business value.

Develop and manage detailed project plans, timelines, and deliverables across cross-functional teams.

Collaborate with AI/ML engineers and data scientists to scope, test, and deploy machine learning models and solutions.

Translate complex business requirements into technical tasks and ensure clarity across all teams.

Facilitate sprint planning, reviews, and retrospectives in Agile/Scrum environments.

Drive go-to-market strategies, product roadmap, and ensure delivery meets customer expectations and regulatory requirements.

Identify and mitigate project risks, dependencies, and issues proactively.

Required Qualifications:

Bachelor s degree in Computer Science, Engineering, Data Science, Business, or related field.

6+ years of experience in product ownership and/or project management roles.

2+ years of experience in AI/ML-focused projects or products.

Strong understanding of machine learning concepts, lifecycle, and deployment best practices.

Proven experience in Agile methodologies and tools like Jira, Confluence, etc.

Exceptional communication, leadership, and stakeholder management skills.

Ability to bridge the gap between technical teams and business users.

Preferred Qualifications:

Master s degree or certifications in AI/ML, Agile, or PMP.

Experience in the financial services or fintech domain.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Knowledge of model governance, MLOps, or Responsible AI frameworks.

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