Jobs · Finance · North Carolina

Senior Manager - Finance AI & Data Strategy

Accenture · Charlotte, NC · 3 wk ago
Finance$133k–$338k/yrFull-time

About the role

The Senior Manager - Finance AI & Data Strategy role at Accenture focuses on driving transformative changes within Finance functions through the strategic application of AI and data technologies. This role requires a deep understanding of Finance processes and a proven track record in applying AI and data solutions to address complex business challenges.

Responsibilities

  • Lead Finance-specific AI strategy engagements — define a compelling vision for how data and AI can reinvent core Finance functions including FP&A, Controllership, Financial Close, Treasury, and Tax.

  • Apply an engineering problem-solving mindset — creatively identify where AI, automation, and data solutions can eliminate friction, reduce manual effort, and generate new insight within Finance processes.

  • Conduct Finance AI and Data Assessments — evaluate the maturity of a client's Finance data assets, technology stack, and AI readiness to identify highest-value transformation opportunities.

  • Design Finance Process Reinvention — map current Finance processes, identify AI intervention points, and develop future-state process designs that embed intelligence at their core.

  • Develop Finance AI Functional Designs — translate Finance process requirements into AI solution designs, working closely with technology and data engineering teams to ensure buildability and fit.

  • Create investment profiles, value models, and sequenced roadmaps to deliver Finance AI transformations with measurable ROI.

  • Shape AI Operating Model design — define the people, processes, governance, and technology structures needed to sustain AI-enabled Finance operations.

  • Infuse Responsible AI — embed ethical AI principles into Finance AI strategy and solution design, ensuring auditability, explainability, and compliance with Finance regulatory requirements.

  • Build trusted client relationships — serve as a credible advisor to CFOs and Finance leadership, combining Finance domain fluency with hands-on AI and data expertise.

  • Originate and shape new opportunities — lead go-to-market activities, develop points of view, and drive the full sales cycle for Finance AI & Data engagements.

Requirements

  • Bachelor's Degree
  • 7+ years of experience in Finance functional roles or Finance transformation consulting — direct, hands-on experience working within or transforming Finance functions (FP&A, Controllership, Financial Close, Treasury, or Tax)
  • 7+ years of AI & Data experience — solutioning, designing, or delivering AI & Data projects, with demonstrated application to Finance use cases
  • 7+ years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines
  • 2+ years in AI & Data delivery specifically within finance space
  • Experience leading senior-level (C-suite or C-level minus 1) conversations, including with CFOs and Finance leadership
  • Engineering problem-solver mindset — ability to apply technology creatively to complex Finance business problems
  • Strong program management and communication skills, both verbal and written
  • Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
  • Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong client relationships
  • Fluent in English (both spoken and written)

Nice to Have

  • Master's degree in a relevant field (Finance, Data Science, Computer Science, Business, or related)
  • Experience with Finance AI platforms and tools (e.g., Anaplan, OneStream, SAP, Oracle EPM, Workiva, or AI-native Finance tools)
  • Familiarity with Finance regulatory and compliance frameworks relevant to AI (SOX, IFRS, GAAP)

Pay

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

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