We Are:

Our Finance AI and Data Strategy practitioners work to create and execute an organizations business strategy for Finance AI and Data transformation including: defining a compelling industry & Finance function vision, creating value & ROI models, architecting a clients Finance AI talent strategy, ecosystem partnership approaches, creating scalable operating capabilities, and envisioning best-in-class business/technology architecture & roadmaps. Use scaled agile disciplines to transform a clients business and Finance function by sequencing the delivery of critical data elements, data products and feature functionality.

Why This Role:

This isn't a role where you maintain the status quo. You'll work at the cutting edge of Finance transformation helping the world's largest organizations reimagine what's possible when AI and data are built into the core of how Finance operates. You'll shape strategy at the C-suite level, build lasting client relationships, and leave engagements knowing you moved something that mattered. If you want scope, influence, and the chance to define what AI-led Finance looks like for an entire industry, this is it.

Who You Are:

You're a seasoned strategist who lives at the intersection of AI, data, and business transformation. You've spent at least five years turning ambiguous enterprise problems into clear-eyed strategies and then seeing those strategies through to impact. Consulting sharpened you: you know how to read an organization, earn trust fast, and deliver under pressure on a global stage.

What You'll Do:

Our Finance AI and Data Strategy practitioners build and execute transformational strategies for how organizations reinvent their Finance function through AI and data. You'll own the full arc from vision to roadmap to delivery working across some of the most complex Finance environments in the world.

• Shape the vision. Define compelling Finance AI strategies that connect to real business outcomes revenue upside, cost takeout, and competitive advantage.

• Earn the room. Build trusted advisor relationships with CFOs and senior Finance leaders, becoming their go-to thought partner on AI and data transformation.

• Architect the path forward. Design AI and data strategies that cover technology platforms, data foundations, operating models, and talent not just the technology layer.

• Make the case. Develop the business case, investment profile, and ROI models that turn a bold vision into a funded, sequenced roadmap.

• Assess and diagnose. Evaluate an organization's AI and data maturity across strategy, talent, operating model, and data infrastructure and know exactly what needs to change.

• Build for scale. Use scaled agile disciplines to sequence delivery of critical data elements, data products, and feature functionality that compound over time.

• Embed Responsible AI. Infuse ethical AI principles from the start building client trust and making responsibility a competitive differentiator, not a compliance checkbox.

• Drive commercialization. Identify and develop AI-first product strategies and ecosystem partnerships that open new revenue streams for clients.

Ability to travel up to 80%; travel as needed based on client expectations.