Drives the identification, evaluation, and adoption of artificial intelligence tools across the Finance organization
Translates Finance business needs into practical AI-enabled solutions and ensures responsible, scalable adoption through structured experimentation, implementation, training, and support
Partners closely with Finance departments (Accounting, FP&A, Investments, Real Estate, Risk & Tax) along with IT, Data and Security teams
Identifies high-impact AI opportunity areas across Finance, including forecasting, reporting, analysis, close processes, controls, and decision support
Conducts and synthesizes business process analysis, user research, and technology assessments to inform AI use cases and prioritization
Develops hypotheses, pilot plans, and experimentation approaches to validate AI-enabled Finance solutions
Evaluates and recommends AI tools aligned with Finance needs, enterprise architecture, and risk standards
Leads pilot implementations and supports transition from experimentation to scaled adoption
Designs and delivers training, documentation, and best-practice guidance for Finance users
Acts as the primary AI champion and subject-matter resource for Finance teams
Tracks adoption, usage, and outcomes to assess effectiveness and inform next-step recommendations
Requirements
Bachelor’s degree in Finance, Accounting, Business, Information Systems, Economics, or a related field; or equivalent practical experience
8 years of experience in Finance, Finance transformation, AI technology enablement, innovation, or related roles
Experience working with AI tools, automation, analytics platforms, or generative AI solutions
Strong understanding of Finance processes and workflows (e.g., FP&A, Accounting, Investments, Tax, Finance Operations)
Ability to identify AI-enabled opportunities and translate business needs into actionable solutions
Experience using and deploying AI for structured problem-solving, hypothesis-driven experimentation, and learning-based iteration
Strong analytical skills, including the ability to assess impact, value, and risk
Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
Ability to influence cross-functional stakeholders without direct authority
Strong facilitation and change-management skills to drive adoption