AI Lead - Value and Economics

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

Job Responsibilities:

Include but are not limited to

• Develop and maintain the enterprise AI value measurement framework, including valuation methods, baselines, success measures, and reporting standards
• Establish business-case and valuation standards and partner with Product Owners and business sponsors to develop, validate, and challenge financial models and value assumptions.
• Develop fit-for-purpose valuation approaches including NPV, IRR, scenario analysis, productivity and capacity value, production uplift, capital efficiency, risk avoidance, decision-quality improvements, and other operational measures appropriate to the use case.
• Standardize value measurement across operational efficiency, revenue optimization, safety, risk reduction, capital productivity, and workforce effectiveness
• Evaluate projected and realized value throughout the AI product lifecycle and recommend whether investments should continue, scale, pivot, or stop based on evidence of business impact.
• Define appropriate methods for attributing realized outcomes to AI interventions, including baselines, comparison groups, operational controls, and other analytical approaches needed to distinguish true impact from correlation or external factors.
• Partner with the AI Portfolio Lead and business stakeholders to integrate value scoring and economic analysis into prioritization, sequencing, funding, and investment decisions
• Develop executive business cases, dashboards, scorecards, and board-level reporting on portfolio performance, business impact, assumptions, attribution, and risks
• Translate complex financial and operational data into clear, actionable insights for executive and business stakeholders
• Analyze gaps between forecasted and realized value to improve assumptions, measurement practices, attribution methods, and future investment decisions
• Influence portfolio and investment decisions through objective, data-driven recommendations and constructive challenge of unsupported value assumptions

Required Qualifications:

• Bachelor’s degree in Finance, Economics, Engineering, Analytics, or a related quantitative field
• 8+ years of experience in financial analysis, management consulting, business value strategy, corporate strategy, or a data-driven advisory function
• Experience evaluating the financial and operational value of technology, analytics, automation, or business transformation initiatives
• Knowledge of financial modeling, investment analysis, baseline development, and benefits realization practices
• Proficiency with analytical and business intelligence tools such as Excel, Power BI, Tableau, SQL, or similar platforms

Preferred Qualifications:

• MBA or advanced degree in Finance, Economics, Engineering, Analytics, or Business
• Experience in oil and gas, energy, or another asset-intensive industry, with knowledge of operational and capital value drivers
• Experience supporting AI, advanced analytics, or digital transformation programs, including measurement and attribution of business value
• Familiarity with AI portfolio governance, product lifecycle management, and benefits realization practices

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.