Overview

In this role you lead end‑to‑end ML/GenAI delivery within Moody’s AI Analytics group, guiding cross‑functional squads to transform risk insights into actionable outcomes. You will partner with data science, ML ops, and product teams to scale solutions across regions, balancing speed and governance. You’ll coach Agile practices, manage dependencies, and report on progress to senior stakeholders. This position offers the chance to help shape responsible AI use while improving efficiency and business impact.

Responsibilities

Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives
Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments
Facilitate quarterly planning and roadmap alignment with engineering and product teams
Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets
Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation
Engage with senior stakeholders across the organization, including analytical and technology teams
Ensure transparency through dashboards, objectives and key results, and performance reporting
Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle
Identify and mitigate delivery risks proactively
Track quality metrics and drive continuous improvement
Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market
Ensure alignment of delivery with product vision and business strategy

Key requirements

3+ years of experience delivering AI/ML initiatives in complex environments
Agile leadership with Scrum/Kanban coaching experience
Backlog management and execution across multiple squads
Strong stakeholder communication and governance/reporting skills
Experience with Jira, Confluence, and agile estimation methods (story points, velocity, burndown)
Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments (preferred)
Experience coordinating delivery across regions and cross-functional teams (preferred)
Familiarity with ML/GenAI tools and frameworks
Knowledge of finance concepts and financial analysis
Hands-on AI delivery experience and responsible AI awareness

communication
leadership
cross-functional collaboration
ML/GenAI delivery
AWS
data science workflows

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