Asst Dir-Product Consultant - Entity Data Products

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 Minimum of 5 years of relevant professional experience, including at least 3 years of experience with Entity Data solutions, covering data, application programming interfaces and data structures, with a growing ability to guide clients on day-to-day usage Working technical understanding of application programming interfaces, data integration and data distribution platforms, with some exposure to Databricks or similar cloud-based data environments Ability to investigate and resolve moderately complex technical queries under guidance, escalating highly complex or cross-domain issues as needed Good verbal and written communication skills, with the ability to explain technical details clearly to customers and internal stakeholders Experience partnering with Product Management, Engineering and Customer Engagement colleagues to support the resolution of customer issues Comfortable working closely with leadership on case strategy, prioritization and customer communication for complex accounts Ability to contribute to root cause analysis and support the implementation of fixes identified by the team Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Bachelor’s degree in Finance, Information Technology or a related field, or equivalent practical experience Responsibilities Resolves moderately complex Entity Data customer issues while supporting strategic customer outcomes and operational excellence Resolve moderately complex Entity Data-related customer issues in close partnership with the Strategic Resolution Entity Data Team Lead, escalating highly complex or cross‑domain cases as needed (30%) Partner with Product Management, Engineering and Customer Engagement colleagues to support the resolution of multi‑domain issues (20%) Contribute to root cause analysis and support the implementation of fixes identified by the team (15%) Maintain accurate case documentation and follow defined processes to ensure timely, high‑quality resolution (15%) Support customer interactions on assigned cases and work closely with the Strategic Resolution Entity Data Team Lead on case strategy and prioritization (10%) Participate in knowledge sharing and continuous learning to build domain expertise over time (10%) About the Team The Strategic Resolution team is a single, accountable organization that owns customer outcomes end‑to‑end by combining engineering depth, product expertise and proactive ownership. The team manages strategic account reliability across products and business units, resolves complex technical issues and serves as a cross‑product subject matter expert group. Working closely with Product Management and Engineering, the team identifies and addresses root causes to deliver scalable, lasting improvements to the customer experience. By joining the team, you will contribute to a customer‑first environment that leverages advanced technologies and AI‑enabled practices to accelerate investigations, improve knowledge sharing and enhance service delivery. For US‑based roles only: the anticipated hiring base salary range for this position is$103,800.00-$150,600.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full‑time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email View email address on click.appcast.io. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. 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. #J-18808-Ljbffr Moody's Investors Service