Assistant Vice President-Talent Data & AI Infrastructure
About the role
The Talent Strategy team at Moody's designs and delivers enterprise talent solutions that help build a future-ready workforce aligned to business priorities. The role serves as the data and AI backbone of the team, translating enterprise talent strategy into actionable analytics, AI-ready data products, and AI-powered tools.
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
- 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
- Robust knowledge and operational experience with AI and agentic concepts
- Exceptional executive communication skills with a proven ability to build trust and cultivate strong relationships
- 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
- Ability to think strategically while executing efficiently and effectively
Benefits
This role is eligible for incentive compensation. Moody's also offers a 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.
Schedule
Not specified