Finance AI Data Strategy Manager

We Are:

Our Finance AI and Data Strategy practitioners work to create and execute an organization’s business strategy for Finance AI and Data transformation including: defining a compelling industry & Finance function vision, creating value & ROI models, architecting a client’s 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 client’s business and Finance function by sequencing the delivery of critical data elements, data products and feature functionality.

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.

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.

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.

• 5+ years of deep fluency in AI & Data Strategy — from enterprise-wide data architecture to function-specific plays across Finance, HR, and Operations. You've shaped the thinking, not just executed it.

• 5+ years of focused Finance AI and Data work — you understand how CFO organizations operate, what keeps Finance leaders up at night, and how AI and data can change that calculus.

• 5+ years developing value cases and ROI models — you can translate a bold vision into a business case that gets funded and a roadmap that gets built.

• 5+ years of hands-on data management and analysis
  , paired with the strategic instinct to know which insights actually matter to the C-suite.

• 5+ years conducting client assessments and requirements gathering — you know the right questions to ask, and you listen for what's not being said.

• 2+ years applying Responsible AI principles in live engagements — you build trust into your work, not as an…