Assistant Director - Product Manager at Moody's

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Product Management, Data Engineering, Agile Methodologies, Data Business Analysis, SQL, Quality Assurance, Analytical Skills, Problem Solving, Communication Skills, Organizational Skills, Attention to Detail, Team Collaboration, Stakeholder Management, Risk Management, Automation, Data Quality

Industry

Financial Services

Description

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+ 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 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 A driver - focused on driving actions and change; Results oriented 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 Education Undergraduate/first-level degree (e.g., Bachelor’s) or graduate/second-level degree (e.g. MBA, Master’s) Responsibilities 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 About the team 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. 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.

Responsibilities

The Data Product Manager will partner with various teams to enhance the quality and delivery of data assets while managing an agile scrum team. They will also ensure that data quality standards are met and facilitate communication across teams.