About the position
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. 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 but relentlessly focused on driving value for customers and the business.
Responsibilities
- Partner with our Data Domain Product Owner, 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.
- 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.
Requirements
- 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.
- 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.
- 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.
- Ability to continually improve the effectiveness of peers and the organization through ideas, actions, and influence.
- Ability to enable the team through scalable processes.
Benefits
- Medical, dental, vision insurance.
- Parental leave.
- Paid time off.
- 401(k) plan with employee and company contribution opportunities.
- Life, disability, and accident insurance.
- Discounted employee stock purchase plan.
- Tuition reimbursement.
