AI Value Methodology Lead

Summary

Join ServiceNow as an AI Value Methodology Lead and play a critical role in shaping how the company understands, measures, and communicates the value of AI initiatives. Develop and maintain a comprehensive value methodology framework. Lead the value estimation and realization process for AI initiatives throughout their lifecycle. Partner with business functions to ensure comprehensive value attribution and ROI calculations. Serve as a strategic advisor to technical and business teams on AI value evaluation. Establish governance protocols to ensure consistency and transparency in AI value tracking. Ensure AI use case assessments align with broader enterprise objectives. Identify gaps and opportunities where AI can deliver new or enhanced business value. This senior individual contributor role requires a decade of experience in data, analytics, and AI.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• 10+ years of experience in data science, analytics, or AI strategy roles, ideally in large-scale enterprise environments
• Proven track record of building and implementing business value frameworks or financial impact models for technology initiatives
• Strong understanding of AI/ML capabilities, lifecycle, and business applications across functions
• Exceptional analytical and quantitative skills with the ability to synthesize complex data into meaningful insights
• Strong business acumen and understanding of corporate value drivers
• Excellent communication and storytelling skills for executive-level presentations
• Experience with tools such as Power BI, Tableau, Excel, and data modeling platforms
• Bachelor's degree in a quantitative or business discipline (e.g., Data Science, Economics, Engineering, Business Analytics)

Responsibilities

• Develop and Maintain Value Methodology Framework
• Design a standardized, scalable methodology to assess the business value of AI use cases, including productivity gains, efficiency improvements, cost reductions, and revenue enhancements
• Define key performance indicators (KPIs), success criteria, and benchmarking metrics for AI adoption and impact across functions
• Value Measurement & Monitoring
• Lead the end-to-end process for value estimation and realization of AI initiatives—spanning the full lifecycle from pilot phases through full deployment
• Maintain dashboards, scorecards, and reporting tools to monitor AI usage trends and value outcomes across the enterprise
• Partner across all business functions developing and deploying AI models/use cases for comprehensive value attribution and ROI calculations
• Stakeholder Engagement & Education
• Serve as a strategic advisor to technical and business teams on how to evaluate, articulate, and quantify the value of AI use cases
• Translate complex value models into compelling narratives and actionable insights for executive leadership
• Governance & Best Practices
• Establish governance protocols to ensure consistency and transparency in AI value tracking across departments
• Maintain a centralized repository of AI use cases, their business impact, and lessons learned to guide future AI investments
• Strategic Alignment
• Ensure AI use case assessments align with broader enterprise objectives, digital transformation goals, and innovation priorities
• Identify gaps and opportunities where AI can deliver new or enhanced business value

Preferred Qualifications

• Experience in change management or digital transformation initiatives
• Familiarity with enterprise AI platforms and AI governance frameworks

Benefits

• Health plans, including flexible spending accounts
• A 401(k) Plan with company match
• ESPP
• Matching donations
• A flexible time away plan
• Family leave programs