Full-Time AI Value Methodology Lead

We are seeking a seasoned and forward-thinking AI Value Methodology Lead to join our Data & Analytics organization.

In this senior individual contributor role, you will play a critical part in shaping how we understand, measure, and communicate the tangible value generated by artificial intelligence initiatives across the enterprise.

The successful candidate will develop and maintain a comprehensive value methodology framework.

Key Responsibilities

• Develop and Maintain Value Methodology Framework
• Design a standardized, scalable methodology to assess the business value of AI use cases.
• Define key performance indicators (KPIs), success criteria, and benchmarking metrics for AI adoption.
• Value Measurement & Monitoring
• Lead the end-to-end process for value estimation and realization of AI initiatives.
• Maintain dashboards, scorecards, and reporting tools to monitor AI usage trends.
• Partner across all business functions developing and deploying AI models/use cases for comprehensive value attribution.
• Stakeholder Engagement & Education
• Serve as a strategic advisor to technical and business teams on evaluating and quantifying AI use cases.
• Translate complex value models into compelling narratives and actionable insights.
• Governance & Best Practices
• Establish governance protocols for consistent and transparent AI value tracking.
• Maintain a centralized repository of AI use cases, their business impact, and lessons learned.
• Strategic Alignment
• Ensure AI use case assessments align with broader enterprise objectives.
• Identify gaps and opportunities where AI can deliver new or enhanced business value.

To be successful in this role you have:

• Experience leveraging or critically thinking about integrating AI into work processes.
• 10+ years of experience in data science, analytics, or AI strategy roles.
• Proven track record of building and implementing business value frameworks.
• Strong understanding of AI/ML capabilities.

Skills

• Exceptional analytical and quantitative skills.
• Strong business acumen and understanding of corporate value drivers.
• Excellent communication and storytelling skills.
• Experience with tools such as Power BI, Tableau, Excel, and data modeling platforms.

Preferred Qualifications

• Experience in change management or digital transformation initiatives.
• Familiarity with enterprise AI platforms.

Compensation: $197,800 - $346,200, plus equity, variable/incentive compensation, and benefits.

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