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- Tasks: Lead exciting AI and ML projects, ensuring smooth delivery and innovation.
- Company: Join Moody's, a global leader in risk assessment and AI transformation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by turning risks into opportunities with cutting-edge technology.
- Qualifications: 3+ years in AI/ML project delivery; Agile experience preferred.
- Other info: Collaborative team environment focused on diversity and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills And Competencies- ML/GenAI Delivery in Enterprise: 3+ years of experience leading end-to-end delivery of 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. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
- 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
- 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
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.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Technical Project Manager (Senior Business Analyst) employer: Moody's Investors Service
Contact Detail:
Moody's Investors Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Project Manager (Senior Business Analyst)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by researching Moody's values and recent projects. We want to show that we’re not just a fit for the role but also align with their mission of turning risks into opportunities.
✨Tip Number 3
Practice common interview questions related to Agile methodologies and AI projects. We should be ready to share specific examples from our experience that highlight our skills and how we’ve tackled challenges.
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email can keep us fresh in their minds and show our enthusiasm for the role. Plus, it’s a great chance to reiterate why we’re the perfect fit!
We think you need these skills to ace Technical Project Manager (Senior Business Analyst)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Technical Project Manager role. Highlight your experience in AI/ML delivery and Agile methodologies, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this opportunity at Moody's. Share specific examples of how you've led projects or teams in the past, and don’t forget to mention your passion for innovation and inclusivity!
Showcase Your Technical Skills: Since technical fluency is preferred, make sure to include any relevant tools and technologies you’ve worked with, like Jira, Confluence, or AWS. We want to see how you can bring your expertise to our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role. Don’t hesitate—if you think you’re a fit, we want to hear from you!
How to prepare for a job interview at Moody's Investors Service
✨Know Your AI and ML Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how you've implemented these technologies in past projects, especially in complex environments. This will show that you can not only understand the technical side but also apply it effectively.
✨Master Agile Methodologies
Since the role involves championing Agile practices, be prepared to share your experiences with Scrum and Kanban. Think of specific examples where you coached teams or facilitated ceremonies. This will demonstrate your leadership skills and your ability to drive continuous improvement.
✨Communicate Like a Pro
Stakeholder communication is key in this role. Practice articulating project updates, managing risks, and making decisions clearly and confidently. You might even want to prepare a few scenarios where you successfully navigated stakeholder expectations or resolved conflicts.
✨Showcase Your Project Management Skills
Highlight your experience with tools like Jira and Confluence, and be ready to discuss how you've built and managed backlogs. Share examples of how you've aligned scope, timeline, and quality across squads to ensure timely delivery. This will prove your capability in overseeing multiple projects.
