Director, Finance AI Acceleration Office

Visa•Foster City, CA

1d•Hybrid

About The Position

Visa is seeking a passionate, authentic, and results oriented leader to join the Finance AI Acceleration Office as a Director, reporting to a Senior Director. The Finance AI Acceleration Office is responsible for accelerating the adoption and scaling of AI across Finance, embedding AI into everyday work, transforming end-to-end Finance processes, and enabling measurable productivity, decision quality, and control improvements in a secure and governed manner. This role will play a critical leadership position in shaping and executing Finance’s AI strategy, moving the organization from local experimentation to enterprise scale, agentic AI solutions across core Finance processes such as Source-to-Pay, Order-to-Cash, Record-to-Report, FP&A, and Contracting. The Director will partner closely with Finance, Technology, and Transformation leaders to ensure AI investments are prioritized, governed, delivered, and scaled for sustained impact. The Finance AI Acceleration Office operates as a bridge between Finance, Technology, and the broader Finance Velocity Office, driving intentional process redesign, disciplined execution, and change adoption to realize the full value of AI in Finance.

Requirements

10+ years of relevant work experience with a Bachelor’s degree, or 8+ years with an advanced degree (MBA, Master’s, or equivalent)
Demonstrated leadership experience applying AI, automation, and advanced analytics to transform Finance processes at scale.
Proven experience executing largescale Finance or enterprise transformations, with domain depth in areas such as Order-to-Cash or Record-to-Report

Nice To Haves

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
MBA strongly preferred.
Financial Services and/or Technology Consulting experience.
Experience standing up and operating AI or digital transformation programs, including governance, prioritization, and value tracking.
Exceptional collaboration, communication, and executive presence skills in global, matrixed environments.

Responsibilities

Own and execute the Finance AI roadmap aligned to the enterprise Finance AI strategy, ensuring clear prioritization for enterprise and orchestration agents.
Translate Finance strategic priorities into a sequenced portfolio of AI initiatives with defined outcomes, milestones, and success metrics.
Lead the transition from proof of concept solutions to industrialized, scalable AI capabilities embedded within Finance systems and processes.
Provide end to end ownership of a portfolio of AI initiatives, including business case development, value realization, delivery oversight, and benefits tracking.
Establish and enforce clear product ownership models, operating rhythms, and delivery standards for Finance AI use cases.
Drive disciplined intake, evaluation, and prioritization of AI ideas, partnering closely with Technology to ensure we are balancing speed of experimentation with architectural integrity and long-term scalability.
Partner with Technology, Risk, and Compliance teams to ensure AI solutions meet enterprise standards for security, data, model governance, and human-in-the-loop controls.
Help define and operationalize the Finance AI operating model, including stage gates, guardrails, and architectural alignment.
Serve as a thought partner to Finance leadership on responsible AI adoption and risk aware scaling.
Act as a senior connector across Finance, IT, and Transformation teams, aligning stakeholders around shared outcomes and execution priorities.
Influence without authority in a highly matrixed environment, using data, structured narratives, and domain expertise to drive decisions.
Facilitate executive level forums to align on AI strategy, investment tradeoffs, and progress against outcomes.
Build and sustain AI capability within Finance through enablement models such as citizen developer cohorts, reusable templates, and playbooks.
Champion adoption and change management to ensure AI solutions are embedded into day-to-day workflows and deliver realized value.
Contribute to developing the long-term talent and capacity model required to scale Finance AI.