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- Tasks: Lead exciting AI/ML projects and drive innovation in a dynamic environment.
- Company: Join Moody's, a leader in risk management and AI transformation.
- Benefits: Competitive salary, inclusive culture, 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 delivery and strong Agile leadership skills required.
- Other info: Embrace diversity and continuous learning in a supportive team.
The predicted salary is between 48000 - 72000 £ per year.
Moody's unites the brightest minds to turn today’s risks into tomorrow’s opportunities. Moody’s is transforming how the world sees risk, 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.
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
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. 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 Corporation
Contact Detail:
Moody's Corporation 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 diving deep into AI and ML topics. We should be ready to discuss how we've tackled similar challenges in past roles. Show them we’re not just familiar with the tech but can also lead teams through it!
✨Tip Number 3
Practice our storytelling skills! We need to articulate our experiences in a way that highlights our problem-solving abilities and leadership style. Use the STAR method (Situation, Task, Action, Result) to keep it structured and impactful.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression. Let’s reiterate our excitement about the role and how we align with Moody's values. It shows we’re genuinely interested!
We think you need these skills to ace Technical Project Manager (Senior Business Analyst)
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you can turn complex ideas into actionable insights, so share any relevant experiences that highlight your skills in this area.
Tailor Your Application: Make sure to customise your application to reflect the specific requirements of the Technical Project Manager role. Highlight your experience with Agile methodologies and project management tools like Jira and Confluence, as these are key to what we do at Moody's.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements. Remember, clarity is key when communicating your project management experience!
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to review your details efficiently. Plus, it’s super easy to do!
How to prepare for a job interview at Moody's Corporation
✨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 AI solutions in past projects, as well as any tools or frameworks you've used. This will show that you can not only talk the talk but also walk the walk!
✨Master Agile Methodologies
Since this role involves coaching teams in Agile practices, be prepared to share your experiences with Scrum and Kanban. Think of specific examples where you facilitated ceremonies or drove continuous improvement. This will demonstrate your leadership skills and understanding of Agile principles.
✨Communicate Like a Pro
Stakeholder communication is key in this role, so practice articulating project updates and managing dependencies clearly. Prepare to discuss how you've handled risks and facilitated decisions in previous projects. Good communication can set you apart from other candidates!
✨Show Your Passion for Learning
Moody's values curiosity and inclusivity, so express your eagerness to learn and adapt. Share instances where you've embraced new challenges or sought out diverse perspectives in your work. This will resonate well with their company culture and values.
