Finance AI Strategy & Data Transformation Lead

Accenture PLC; Houston (TX); On-site; USD 94,000 - 294,000; Full time

Job summary

Accenture PLC is seeking a seasoned strategist to shape and lead Finance AI and Data Strategy engagements for global clients. You will own the full arc from vision to roadmap to delivery, partnering with CFOs and senior Finance leaders to unlock revenue growth, cost optimization, and competitive advantage through AI and data.

You will leverage scaled agile methods to sequence data elements, data products, and AI capabilities across large, distributed teams, while embedding Responsible AI as a

Qualifications

• 5+ years of deep fluency in AI & Data Strategy — from enterprise-wide data architecture to function-specific plays across Finance, HR, and Operations.
• 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 afterthought, but as a differentiator.
• 5+ years of leading workstreams end-to-end across complex, multi-stakeholder environments — you're the person others look to when deadlines matter and the pressure is real.
• 5+ years of large-scale global delivery — you've navigated time zones, cultures, and matrix organizations, and you know what it takes to keep distributed teams aligned.
• 5+ years working directly with corporate and/or business unit Finance processes, functions, and systems — you can speak the language fluently, not just translate it.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

• 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.

Skills

AI & Data Strategy

Finance AI & Data

ROI models

Data analysis

Client assessments

Responsible AI

Global delivery

Finance processes

Education

Bachelor's degree or equivalent

Job description

Accenture PLC is seeking a seasoned strategist to shape and lead Finance AI and Data Strategy engagements for global clients. You will own the full arc from vision to roadmap to delivery, partnering with CFOs and senior Finance leaders to unlock revenue growth, cost optimization, and competitive advantage through AI and data.

You will leverage scaled agile methods to sequence data elements, data products, and AI capabilities across large, distributed teams, while embedding Responsible AI as a