AI Lead - Value and Economics
Indexed description
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
- 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
- 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
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