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- Tasks: Lead a dynamic team to enhance data quality and drive innovative product solutions.
- Company: Join Moody's, a global leader in risk assessment and data analytics.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by transforming how the world sees risk with cutting-edge technology.
- Qualifications: 5+ years in product management or data engineering; strong analytical and communication skills.
- Other info: Collaborative environment focused on driving value and innovation.
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- 5+ years of experience in technical product management or data engineering for data intensive B2B products
- Strong grasp of agile methodologies and processes
- Prior data business analyst or data-focused product management level knowledge and experience in the data product space
- Experience monitoring and recommending quality assurance standards
- Experience and proficiency using SQL for troubleshooting and analysis
- Results oriented and focused on driving actions and change
- Outstanding verbal and written communication skills
- Superb analytical skills and persistence in problem solving
- Demonstrated initiative, enthusiasm to learn, excel and be a part of a dynamic team
- Excellent organisational skills and attention to detail
- Ability to continually improve the effectiveness of peers and the organisation through ideas, actions, and influence
- Undergraduate/first-level degree (e.g., Bachelor’s) or graduate/second-level degree (e.g. MBA, Master’s)
- Partner with our Data Domain leads, Data Operations, Data Governance, Quality Assurance, Data Engineering and internal Product Development teams to expand and improve the quality, timeliness, breadth and depth of our data assets
- Establish a strong and collaborative relationship with data operations experts to understand the data lifecycle, identify key risks and opportunities, and base the data product roadmap on these insights
- Collaborate with the data engineering team to understand complexity of various solutions and participate in decision making to choose the right implementation approach to solve customer problems
- Manage an agile scrum team and all associated ceremonies
- Facilitate alignment and communication across data and product development squads to monitor interdependencies and make sound decisions
- Manage a backlog of work for the data engineering team; creating user stories, bugs, and tasks to accomplish the roadmap initiatives
- Ensure that all data quality standards are met and that our best practices around high-quality data delivery are instantiated in our stories and priorities
- Gather appropriate stakeholder input to build, prune, and maintain the product backlog, consisting mostly of user stories, but also defects, production support tickets, refactors and infrastructure work, prioritized based on user value, time dependencies, risk reduction and effort
- Consistently validate that items in the roadmap and backlog are linked to strategic goals, and ensure that the squad understands the goals and vision of all work in the backlog
- Identify opportunities to automate tasks, leverage technology and streamline the delivery of data
- Identify and mitigate risk and ensure controls are in place throughout the data delivery lifecycle
The Data Product Manager will be responsible for a squad focused on one of Moody’s Analytics’ most valuable assets – our data. Our data domain squads strike the balance between maintaining a passion for data quality with a relentless focus on timeliness and efficiency, leveraging technology to help us get the job done. The Data Product Manager will drive towards effective delivery and help unblock team members and decisions efficiently.
This position is part of the Data Product Management Team, a dynamic, analytical group that is curious about data and deeply focused on driving value for customers and the business.
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.
Assistant Director - Product Manager employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Director - Product Manager
✨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 for the company culture. Tailor our answers to reflect their mission of turning risks into opportunities.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us nail down our responses and boost our confidence. Let’s focus on articulating our experience in product management and data engineering clearly.
✨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 Assistant Director - Product Manager
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data and how it drives decision-making. Share specific examples of how you've used data to solve problems or improve processes in your previous roles.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the job description. We want to see how your background fits with our values and the responsibilities of the role.
Be Clear and Concise: Use straightforward language and keep your application focused. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Moody's.
How to prepare for a job interview at Moody's Corporation
✨Know Your Data Inside Out
As an Assistant Director - Product Manager, you'll be working closely with data. Make sure you brush up on your SQL skills and understand the data lifecycle. Be prepared to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Agile Experience
Since the role involves managing an agile scrum team, come ready to share specific examples of how you've successfully implemented agile methodologies. Highlight any challenges you faced and how you overcame them to keep the team on track.
✨Demonstrate Collaborative Spirit
Moody's values collaboration, so be prepared to talk about how you've built strong relationships with cross-functional teams. Share instances where your communication skills helped bridge gaps between data operations and product development.
✨Emphasise Problem-Solving Skills
With a focus on driving actions and change, it's crucial to showcase your analytical skills. Prepare to discuss a complex problem you solved in a previous role, detailing your thought process and the impact of your solution on the team or project.
