
Assistant Vice PresidentTalent Data & AI Infrastructure
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Job overview
The Assistant Vice President, Talent Data & AI Infrastructure serves as the data and AI backbone of Moody’s Talent Strategy team. The role translates enterprise talent strategy into analytics, AI-ready data products, and AI-powered tools to support workforce and talent decisions. It defines talent analytics strategy, develops reusable data products and workforce-planning tools, and leads measurement and organizational-design analytics.
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Full job description
13734 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+ years of experience at a top tier management consulting, finance, data science, or analytics firm * Experience with enterprise-level deployments of AI, talent analytics, workforce intelligence, and/or measurement strategies * Strong capability in data product thinking, including curation, quality, governance, documentation, and lifecycle ownership, with comfort partnering closely with technical teams * Robust knowledge and operational experience with AI and agentic concepts, including translating business workflows into automation and agent requirements and defining success metrics * Exceptional executive communication skills with a proven ability to build trust and cultivate strong relationships across all organizational levels, including executive leadership * Excellent business acumen with the ability to connect people and talent strategy to enterprise goals * Strong consulting toolkit, including problem structuring, stakeholder management, executive storytelling, and program leadership in ambiguous environments * Demonstrated experience defining and executing impact measurement strategies, ideally for talent programs such as learning, leadership, and manager capability initiatives * Ability to think strategically while executing efficiently and effectively at a tactical levelEducation * Bachelor's degree required; advanced degree in business, analytics, data science, or a related field preferredResponsibilitiesThis role serves as the data and AI backbone of the Talent Strategy team, translating enterprise talent strategy into actionable analytics, AI-ready data products, and AI-powered tools that enable faster, higher-quality workforce and talent decisions. * Define and maintain the enterprise Talent Analytics Strategy, including vision, priorities, roadmap, governance, standards, and operating rhythm across key talent domains * Establish single-source-of-truth talent metrics and evolve insights from reactive reporting to predictive, scenario-based analytics * Design and deliver curated, reusable, AI- and agentic-ready talent data products, including skills, roles, capabilities, development signals, and organizational attributes * Build knowledge graphs, context layers, and data quality standards that ensure talent datasets are discoverable, trustworthy, and automation-ready * Develop AI-enabled workforce planning, forecasting, and scenario modeling tools that align skill supply with evolving business and market demand * Define and lead a data-driven organizational design analytics approach, enabling evaluation of structures, spans and layers, role mix, and future-state options * Create and own an enterprise measurement strategy to assess the impact of talent investments from participation through capability and business outcomes * Identify and deliver AI-enabled tools and workflows that streamline talent processes, improve
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