About the Role:

Moody’s NWC is seeking a Technical Product Manager – AI Solutions to lead the development and enhancement of AI-powered products and solutions. This role requires a strong technical background, a deep understanding of AI/ML technologies, and the ability to collaborate with cross-functional teams to drive the strategic vision of AI initiatives.

Key Responsibilities:

Define and drive the product vision, roadmap, and backlog for AI-driven solutions, aligning with business objectives and stakeholder needs.

Collaborate with data scientists, engineers, and architects to build and scale AI/ML models and solutions.

Translate business requirements into detailed user stories, acceptance criteria, and technical specifications.

Ensure AI-powered solutions align with compliance, security, and ethical AI best practices.

Lead sprint planning, backlog grooming, and prioritization efforts in an Agile environment.

Monitor and evaluate the performance of AI models, ensuring continuous improvement and optimization.

Stay updated on emerging AI trends and advancements, including GPT models and Large Language Models (LLMs), to drive innovation within Moody’s NWC.

Act as a bridge between business stakeholders and technical teams to ensure seamless communication and execution.

Required Qualifications:

5+ years of experience as a Product Owner or similar role, with at least 2+ years focused on AI/ML-powered products.

Strong understanding of AI/ML concepts, including NLP, deep learning, computer vision, and predictive analytics.

Experience working with AI frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.

Hands-on experience with GPT models and Large Language Models (LLMs) for NLP and AI-driven automation.

Proficiency in Agile methodologies (Scrum, SAFe) and experience managing product backlogs.

Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML model deployment.

Ability to translate complex technical concepts into clear business insights.

Strong analytical, problem-solving, and stakeholder management skills.

Excellent verbal and written communication skills.

Preferred Qualifications:

Experience with AI ethics, model interpretability, and responsible AI practices.

Background in data engineering, MLOps, or AI infrastructure.

Prior experience in the financial services or risk analytics industry.

Certification in Scrum Product Owner (CSPO), SAFe Product Owner, or AI-related courses.