At a Glance
- Tasks: Lead a data engineering squad to deliver innovative data solutions and manage product backlogs.
- Company: Join Moody's, a leader in data management and analytics, fostering an inclusive and innovative culture.
- Benefits: Enjoy a collaborative environment with opportunities for growth and impactful contributions.
- Why this job: Shape the future of data management while driving value for customers and the business.
- Qualifications: 5+ years in technical product management or data engineering; strong agile knowledge required.
- Other info: Moody's values diversity and encourages all qualified applicants to apply.
The predicted salary is between 48000 - 72000 £ 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.
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.
Welcome to the Data Estate business unit at Moody\’s Analytics, where we are pioneering the future of data management and analytics in Moody\’s Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.
At Data Estate, we focus on enhancing Moody\’s digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.
We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.
Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.
The Product Manager will be responsible for a data engineering squad for one of Moody’s Analytics’ most critical data platforms. Our data platform has a bias towards rapid shipping and delivery of new data sets. The Product Manager will drive towards effective delivery and help unblock team members and decisions efficiently. Specifically, the Product Manager will focus on the Entity Management product/process within Entity Resolution – this involves formalising business rules, straight-through-processing decisions, tooling for internal data analysts and managing identifiers to arrive at a rational and trackable set of resolved entities.
This position is part of the Data Product Management Team, a dynamic, analytical group that is curious about data but relentlessly focused on driving value for customers and the business.
Responsibilities:
- Partner with our Data Platform Product Owner, Data Governance, Quality Assurance, Data Engineering and internal Product Development teams to bring new data sets to market
- 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
- Responsible for managing a backlog of work for the data engineering team; creating user stories, bugs, and tasks to accomplish the roadmap initiatives
- Responsible for ensuring data is deployed successfully and coordinate effectively with the release management team within Operations, Data Quality and Data Governance
- Establish strong and collaborative relationships with data strategy partners to ensure effective and accurate delivery of new data sets and evolution of existing data
- 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
- 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
Qualifications:
- Undergraduate/first-level degree (e.g., Bachelor’s) or graduate/second-level degree (e.g. MBA, Master’s)
- 5+ year(s) of experience in technical product management or data engineering for data intensive B2B products.
- You have a strong grasp of agile methodologies and processes
- Prior technical business analyst or technical product management level knowledge and experience in the data platform or data warehousing space (for example, Athena, Redshift, Snowflake, Databricks, Kafka)
- Familiarity with Data Science concepts
- Prior experience with Entity Resolution a plus
- Experience monitoring and recommending quality assurance standards
- Experience and proficiency using SQL for troubleshooting and analysis
- A driver – focused on driving actions and change; Results oriented.
- Experience working in a matrixed environment and managing a development team supplemented by external consulting or vendor resources.
- 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.
- You continually improve the effectiveness of your peers and the organisation through your ideas, actions, and influence. You enable the team through scalable processes
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.
Candidates for Moody\’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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Associate Director - Product Manager (Data Platform) employer: Moody's Investors Service
Contact Detail:
Moody's Investors Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director - Product Manager (Data Platform)
✨Tip Number 1
Familiarise yourself with the latest trends in data management and analytics. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data platform space, especially those who have experience with tools like Snowflake or Databricks. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture at Moody's.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies and how you've successfully managed product backlogs in the past. Be ready to share specific examples of how you've driven results in previous roles.
✨Tip Number 4
Showcase your problem-solving skills by preparing case studies or scenarios where you've identified risks and implemented solutions in a data-driven environment. This will highlight your analytical abilities and fit for the role.
We think you need these skills to ace Associate Director - Product Manager (Data Platform)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical product management and data engineering. Emphasise your familiarity with agile methodologies and any specific tools mentioned in the job description, such as SQL or data platforms like Snowflake or Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data quality and governance. Mention how your values align with Moody's commitment to innovation and collaboration. Use specific examples from your past experiences that demonstrate your ability to drive results and manage teams effectively.
Showcase Your Analytical Skills: Highlight your analytical skills in both your CV and cover letter. Provide examples of how you've used data to solve problems or improve processes in previous roles. This will show that you can contribute to the Data Estate team's mission of delivering precise and timely data.
Demonstrate Cultural Fit: Moody's values diversity and inclusion, so make sure to convey your ability to work collaboratively in a team environment. Share experiences where you've championed diverse perspectives or invested in relationships, as this aligns with their company culture.
How to prepare for a job interview at Moody's Investors Service
✨Understand the Company Culture
Before your interview, take some time to research Moody's values and culture. They emphasise inclusivity and collaboration, so be prepared to discuss how you can contribute to a positive team environment.
✨Showcase Your Technical Expertise
As an Associate Director - Product Manager, you'll need to demonstrate your knowledge of data platforms and agile methodologies. Be ready to discuss specific tools you've used, such as SQL or data warehousing technologies like Snowflake or Databricks.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage a team. Prepare examples from your past experiences where you successfully led a project or resolved a complex issue in a data-driven environment.
✨Highlight Your Communication Skills
Effective communication is key in this role. Be prepared to explain how you've facilitated alignment across teams in previous positions and how you ensure all stakeholders are kept informed throughout a project.