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Agile Delivery Lead

London, UK Full-time
Program ManagerBusiness AnalystMLOps EngineerScrum MasterAgile CoachProject ManagerProduct OwnerMachine Learning EngineerTechnical Program ManagerDelivery Manager

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Skills and Competencies

  • ML/GenAI Delivery in Enterprise: 3+ years of professional experience including substantial experience in delivering AI/Machine Learning initiatives across complex environments
  • Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement
  • Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads
  • Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions
  • Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls
  • Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown)
  • Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments
  • Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams
  • Familiarity with Machine Learning and GenAI tools and frameworks
  • Good knowledge of finance concepts, notably financial analysis
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency
  • Proven ability to implement AI-powered solutions to solve business challenges

Education

  • Bachelor’s or master’s degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience
  • Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable

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

About The Team

Moody’s Ratings’ AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn.

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