Data Platform Product Manager

Data Platform Product Manager

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a data engineering squad to deliver innovative data solutions.
  • Company: Join Moody's, a leader in turning risks into opportunities with a focus on inclusivity.
  • Benefits: Enjoy flexible work options and a collaborative environment that values diverse perspectives.
  • Why this job: Be part of a dynamic team driving impactful data solutions for customers and the business.
  • Qualifications: 5+ years in technical product management or data engineering; strong agile and SQL skills required.
  • Other info: Moody's values diversity and encourages all qualified candidates 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.

Role/Responsibilities

The Data Platform 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 Data Platform 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 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)
  • 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 organizational skills and attention to detail.
  • You continually improve the effectiveness of your peers and the organization 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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Data Platform Product Manager employer: Moody's Investors Service

At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is encouraged to share their unique perspectives and ideas. As a Data Platform Product Manager, you will have the opportunity to lead a dynamic team in a role that not only drives value for our customers but also supports your professional growth through collaboration and continuous learning. With a commitment to integrity and excellence, Moody's offers a rewarding career path in a company that values relationships and champions diversity.
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Contact Detail:

Moody's Investors Service Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Platform Product Manager

✨Tip Number 1

Familiarise yourself with agile methodologies, as this role heavily relies on managing an agile scrum team. Brush up on your knowledge of scrum ceremonies and how to facilitate them effectively, as this will demonstrate your capability to lead the team.

✨Tip Number 2

Showcase your experience with data platforms like Athena, Redshift, or Snowflake during networking opportunities. Engaging in conversations about these technologies can help you connect with current employees and gain insights into the company culture.

✨Tip Number 3

Highlight your problem-solving skills by preparing examples of how you've successfully managed complex data projects in the past. This will help you stand out as a results-oriented candidate who can drive actions and change.

✨Tip Number 4

Build relationships with professionals in the data engineering field through LinkedIn or industry events. Networking can provide valuable insights into the role and may even lead to referrals, increasing your chances of landing the job.

We think you need these skills to ace Data Platform Product Manager

Agile Methodologies
Technical Product Management
Data Engineering
B2B Product Development
SQL Proficiency
Quality Assurance Standards
User Story Creation
Backlog Management
Stakeholder Engagement
Risk Identification and Mitigation
Analytical Skills
Problem-Solving Skills
Communication Skills
Organisational Skills
Collaboration and Teamwork

Some tips for your application 🫡

Tailor Your CV: Make sure to customise your CV to highlight 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.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and product management. Use this opportunity to explain how your values align with Moody's, particularly around collaboration and driving value for customers. Mention specific examples from your past experiences that demonstrate these qualities.

Highlight Relevant Skills: In your application, clearly outline your skills related to managing agile teams, creating user stories, and ensuring data quality. Use bullet points for clarity and make sure to include any experience you have with risk management and automation in data delivery.

Show Enthusiasm for Learning: Convey your eagerness to learn and grow within the role. Mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated in the field of data management and product development.

How to prepare for a job interview at Moody's Investors Service

✨Understand Agile Methodologies

Since the role involves managing an agile scrum team, it's crucial to demonstrate a solid understanding of agile methodologies. Be prepared to discuss your experience with agile processes and how you've applied them in previous roles.

✨Showcase Your Technical Knowledge

Familiarise yourself with data platforms and tools mentioned in the job description, such as Athena, Redshift, and Snowflake. Be ready to discuss your technical expertise and how it relates to the responsibilities of the Data Platform Product Manager.

✨Highlight Collaboration Skills

The role requires strong collaboration with various teams. Prepare examples of how you've successfully worked with cross-functional teams in the past, focusing on communication and alignment to achieve common goals.

✨Demonstrate Problem-Solving Abilities

Given the emphasis on driving actions and change, be ready to share specific instances where you've identified problems and implemented effective solutions. Highlight your analytical skills and persistence in overcoming challenges.

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