Moody's is transforming how the world sees risk by advancing AI to move from insight to action, enabling intelligence that not only understands complexity but responds to it. The company needs to decode risk to unlock opportunity, helping clients navigate uncertainty with clarity, speed, and confidence. This role is responsible for defining and executing the vision for how Moody's Analytics transforms, governs, and delivers its core data assets.
Requirements
- 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.
- 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.
- 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.
Responsibilities
- Oversee the entire data product portfolio and functional data organization structures
- Ensure a seamless, high-quality, and timely flow of data to internal application delivery teams and external clients
- 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
- 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
- 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
- Implement a rigorous, data-driven framework for portfolio prioritization, balancing feature development, technical debt, operational stability, and mandated regulatory requirements
Other
- Minimum of 5 years of direct experience leading and managing a team.
- Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to executive-level, non-technical audiences.
- 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.
- Define career paths, provide coaching, and conduct performance reviews to maximize the potential and impact of the team.
- Act as the primary communicator of data product progress, strategy, and challenges to senior and executive stakeholders across Product, Technology, and Business lines.
