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 10+ years of experience in Data Strategy and / or Data Product Management, with at least 5 years directly managing data products and data platforms.
• 5+ years of direct experience leading and managing a team.
• Proven track record in defining and executing a multi-year product strategy for complex, large-scale data assets, preferably in a B2B or Enterprise environment.
• Mastery of modern product management and Agile methodologies (Scrum/Kanban) at a portfolio level.
• Deep expertise in understanding data content, data models, and data structures, with the ability to oversee and guide the design and optimization of data structures across the entire product portfolio to ensure scalability, usability, and alignment with business needs.
• Solid technical acumen, with experience overseeing data processing pipelines, data warehousing technologies (e.g., Snowflake, Redshift), and data governance tools.
• Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to executive-level, non-technical audiences.

Education

Bachelor's degree in a technical or quantitative field (e.g., Computer Science, Engineering, Finance, or Data Science). An MBA or Master’s degree is a plus.

Responsibilities

The Director of Data Strategy and Product Management will be a strategic leader responsible for defining and executing the vision for how Moody's Analytics transforms, governs, and delivers its core data assets. This role involves managing a team of Data Strategists and Data Product Managers, overseeing the entire data product portfolio and functional data organization structures, and ensuring a seamless, high-quality, and timely flow of data to internal application delivery teams and external clients.

The successful candidate will set the standard for data excellence, drive strategic prioritization, and champion a culture of data-centric product development that directly supports Moody’s mission to decode risk and unlock opportunity.

People & Team Leadership

• Team Management: Manage, mentor, and grow a high-performing team of Data Strategists and Data Product Managers, fostering a culture of accountability, continuous improvement, and deep curiosity about data and its business applications.
• Talent Development: Define career paths, provide coaching, and conduct performance reviews to maximize the potential and impact of the team.
• Operational Excellence: Establish and standardize best practices and processes across the team for data product lifecycle management, from ideation and discovery to delivery and deprecation.

Strategy & Vision

• Data Strategy & Product Delivery: Deliver on the long-term strategic vision and multi-year roadmap for the data product portfolio. Partner with the Product Strategy team on the long term vision and ensuring it aligns with Moody’s Analytics' business goals and technology architecture Innovation & AI: Identify and integrate new technologies, including AI/ML capabilities, to enhance the data assets, streamline delivery, and drive new forms of value for application teams and clients.

Portfolio Oversight & Delivery

• Data Strategy: Lead the team in discovering, evaluating, and onboarding new data sources to ensure the portfolio remains innovative and relevant to business needs. Oversee the creation and review of data briefs that detail requirements for data querying, transformation, and delivery, ensuring alignment with front-end application needs.
• Delivery Assurance: Oversee the portfolio of initiatives to ensure that critical data transformation, enrichment, and delivery pipelines are executed on time, meeting the strict quality and performance requirements of dependent application delivery teams.
• Strategic Prioritization: Implement a rigorous, data-driven framework for portfolio prioritization, balancing feature development, technical debt, operational stability, and mandated regulatory requirements.
• Risk Management: Proactively identify and mitigate risks and dependencies across all data product initiatives, ensuring transparency and clear escalation paths to senior leadership.

Governance & Quality

• Data Governance: Champion and enforce the highest standards of data quality, data lineage, metadata management, and regulatory compliance across all managed data products.
• Scalability & Architecture: Partner closely with Data Engineering and Data Architecture leadership to ensure the underlying data infrastructure is scalable, secure, and future-proof.
• Automation: Drive the adoption of automation and robust monitoring across the entire data product lifecycle to ensure operational efficiency and minimize failure points.

Stakeholder Management & Communication

• Executive Communication: Act as the primary communicator of data product progress, strategy, and challenges to senior and executive stakeholders across Product, Technology, and Business lines.
• Cross-Functional Alignment: Foster strong working partnerships with other Directors and VPs, including Application Product, Engineering, Technology, and QA to ensure seamless integration of data assets into final delivery platforms.

Preferred Qualifications

• Deep expertise in the Finance, Risk, or Regulatory sectors is highly preferred, with a strong understanding of the critical nature of data quality and timeliness in these domains.

About the team

Our Digital Content and Innovation team is responsible for managing Moody’s flagship research, data, and analytical platform, alongside our cutting-edge GenAI powered capabilities.

By joining our team, you will be part of exciting work that shapes the way we deliver data and content to our end users, influencing the future of how Moody’s serves customers globally across segments and helps them make better decisions faster.

For US-based roles only: the anticipated hiring base salary range for this position is $169,800.00 - $246,150.00, 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 accommodations@moodys.com. 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.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.