Assistant Vice President-Talent Data & AI Infrastructure

About the role

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.

Responsibilities

• 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 decision quality, and enhance leader and employee experience

Requirements

• 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 level

Qualifications

• Bachelor’s degree required; advanced degree in business, analytics, data science, or a related field preferred

Skills

• Data product thinking
• Enterprise-level AI deployment
• Talent analytics
• Workforce intelligence
• Impact measurement strategies
• Executive communication
• Business acumen
• Consulting toolkit
• Strategic thinking
• Tactical execution

Benefits

• Competitive benefits package, including 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

Pay

The anticipated hiring base salary range for this position is $135,700.00 - $196,750.00, 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.

Schedule

Full-time