At a Glance
- Tasks: Lead analytics product strategy and drive measurable business outcomes at Moody's.
- Company: Join a global leader in risk assessment and analytics with an inclusive culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams and explore AI-driven solutions.
- Why this job: Shape the future of analytics products and make a real impact on business decisions.
- Qualifications: 5+ years in product management or analytics; strong analytical and problem-solving skills.
The predicted salary is between 45000 - 55000 £ 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.
Skills and Competencies
- 5+ years of experience in product management, business intelligence, analytics, commercial strategy or a related discipline
- Strong product thinking, including defining business problems, clarifying use cases, prioritising needs and translating them into actionable product requirements
- Experience developing product roadmaps, managing backlogs or supporting delivery of analytics products, dashboards, applications or decision-support tools
- Ability to drive stakeholder alignment, communicate priorities and support adoption across business and technical audiences
- Experience defining product outcomes, adoption measures, usage metrics or business success criteria
- Strong analytical and problem-solving skills, with the ability to structure ambiguous business questions and translate data and user feedback into clear insights and recommended actions
- Strong attention to detail and ability to work independently or in a small team against deadlines
- Experience supporting commercial, pricing, product, portfolio, customer or market analytics products within financial services, risk analytics, SaaS or enterprise software organisation preferred
- Familiarity with Power BI, Tableau, SQL, Python, Databricks or cloud-based analytics environments, and experience with product discovery, user research, adoption planning or change management preferred
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
Education
- Bachelor's degree in Economics, Finance, Data Science, Analytics, Business, Mathematics, Statistics, Information Systems or a related field, or equivalent practical experience
- Advanced degree or relevant certifications in analytics, business intelligence, data visualization or data platforms preferred
Responsibilities
- Own the strategy, priorities and adoption of analytics products that deliver measurable business outcomes for Moody's Analytics.
- Partner with business stakeholders to understand strategic objectives, pain points, decisions and use cases for analytics products
- Translate business needs into clear product requirements, user stories, acceptance criteria and prioritised backlog items
- Define the business problem, intended users, expected value and decisions supported for each product investment
- Validate assumptions with stakeholders and users to ensure product direction is grounded in real business needs
- Support development of product strategy and roadmap priorities across analytics products and decision-support capabilities
- Coordinate with analytics, data, engineering and business teams to sequence work based on business value, feasibility, dependencies and stakeholder readiness
- Drive stakeholder alignment, adoption planning, communications, launch readiness and feedback loops for assigned products
- Define product success metrics, monitor adoption and usage, and identify opportunities to improve product relevance and impact
- Prepare clear product narratives, roadmap updates and decision materials for senior stakeholders
About the Team
Our Strategic & Operational Analytics team is responsible for developing trusted analytics products, reporting and decision-support capabilities that support Moody's Analytics leadership and business teams. The team works across commercial data foundations, customer intelligence, product analytics, pricing, portfolio management, market analytics and AI-enabled decision intelligence. By joining our team, you will help shape the strategy, roadmap, adoption and measurable impact of analytics products across the Commercial Analytics portfolio, partnering closely with Commercial Strategy, Customer Success, Finance, Product and Sales.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Assistant Director - Product Manager (Business Intelligence) in London employer: Moody's Corporation
At Moody's, we pride ourselves on being an exceptional employer, particularly for those in the AI/ML product management space. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in a vibrant city, we offer unique advantages such as access to cutting-edge technology and a diverse client base, making your contributions impactful and rewarding.
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We think this is how you could land Assistant Director - Product Manager (Business Intelligence) in London
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We think you need these skills to ace Assistant Director - Product Manager (Business Intelligence) in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Moody's Corporation, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Moody's Corporation
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Moody's Corporation’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
