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VP-Data Engineer (People Analytics)

Moody's Corporation · New York, NY · Yesterday
Sales$192k–$278k/yrFull-time

About the role

The People Analytics team at Moody's is building an AI-native workforce intelligence capability grounded in trusted, governed data. Our mission is to establish a reliable, enterprise-grade data foundation that enables meaningful workforce analytics, AI-powered decision-making, and innovative People data products. We partner closely with HR, Technology, Legal, and business leaders to ensure our data platform is secure, scalable, and purpose-built to support the evolving needs of a global workforce.

Responsibilities

  • Design and operate the enterprise People data platform that powers workforce analytics, AI-enabled insights, and data-driven People solutions at Moody's.

  • Design and maintain the People Analytics lakehouse and data architecture, ensuring platform performance, entitlements, reliability, observability, and operational excellence.

  • Build and maintain canonical datasets — including the enterprise worker spine and governed workforce facts — serving as the authoritative sources of truth for workforce data across the People function.

  • Establish consistent data models, metric definitions, metadata, business rules, and semantic layers that can be reused across multiple analytics and AI use cases.

  • Implement data quality testing, lineage tracking, monitoring, and certification processes to ensure workforce data remains secure, compliant, and audit-ready.

  • Partner with People Data Product Owners to translate business requirements into scalable, well-documented data assets that support reporting, analytics, AI assistants, and future workforce applications.

  • Collaborate with Privacy, Risk, Legal, Security, and Technology teams to ensure appropriate governance standards, documentation, version control, and change tracking for all workforce data.

  • Create reusable patterns and foundational data layers that reduce fragmented reporting, eliminate duplicate data preparation, and accelerate solution development across the People function.

Requirements

  • 8+ years of experience in data engineering, analytics engineering, platform engineering, or related disciplines.

  • Deep expertise in SQL, data modeling, and data architecture with proven ability to design scalable, reusable data structures.

  • Strong understanding of data pipeline orchestration, testing, monitoring, and reliability practices.

  • Experience implementing data governance, metadata management, lineage tracking, and data quality frameworks.

  • Experience with Workday data extraction (RaaS, WQL, Core Connectors) and effective-dated HCM data models is preferred; familiarity with semantic layers, knowledge graphs, or AI-ready data architectures is a plus.

  • Experience with Microsoft Fabric, Azure Data Platform, Databricks, Power BI semantic models, or similar technologies is preferred.

  • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.

  • Strong experience using AI tools to lead innovation initiatives.

  • Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field required; advanced degree preferred.

Skills

  • SQL

  • Data modeling

  • Data architecture

  • Data pipeline orchestration

  • Data governance

  • Data quality frameworks

  • Workday data extraction

  • Microsoft Fabric

  • Azure Data Platform

  • Databricks

  • Power BI semantic models

  • Artificial intelligence

  • AI solutions

  • AI tool usage

  • AI-related risk management

  • Ethical governance

  • Responsible AI adoption

Benefits

Moody’s 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 $191,500.00 - $277,600.00, 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

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

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