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Head of Corporate Finance, Data & AI

Job in Malvern, Hot Spring County, Arkansas, 72104, USA
Listing for: 慨正橡扯
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Science Manager, AI Engineer, Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Why This Role Matters

At Vanguard, we’re transforming how Corporate Finance delivers insight, speed, and strategic impact. As the Head of Corporate Finance, Data & AI
, you will define and lead a bold strategy to embed data, analytics, and AI across Finance—reimagining how decisions are made and how value is delivered.

This is a high-impact leadership role at the intersection of Finance and technology. You will build and scale the capabilities that power Finance’s next chapter—unlocking step-change improvements in transparency, efficiency, and insight—while ensuring a disciplined, risk-aware approach aligned with our enterprise standards.

What You’ll Do Set the Strategy and Deliver Impact
  • Define and execute the Corporate Finance Data & AI strategy, establishing a clear roadmap aligned with enterprise priorities
  • Drive adoption of modern analytics and AI tools across Finance to improve speed, accuracy, and decision-making
  • Identify capability gaps and design scalable, integrated solutions to advance Finance maturity
Lead and Scale High-Performing Teams
  • Build and lead world‑class teams across data analytics, data engineering, governance, and AI
  • Establish a high‑performance culture with clear goals, coaching, and talent development
  • Operate across direct and matrixed environments to scale impact across Corporate Finance
Enable Data-Driven Decision Making
  • Partner with senior Finance leaders (e.g., BU CFOs, FP&A, CAO) to deliver actionable, data-driven insights
  • Translate complex analytics and AI outputs into clear business recommendations
  • Position the team as trusted advisors to Finance and enterprise stakeholders
Accelerate Adoption Through Partnership & Enablement
  • Collaborate with Finance and business partners to design intuitive, self‑service analytics and AI capabilities
  • Develop frameworks, guardrails, and training to enable responsible and sustainable adoption
  • Build Finance‑wide data and AI literacy through targeted enablement programs
Drive Innovation with Strong Governance
  • Embed governance, controls, and monitoring across data and AI workflows to ensure quality, transparency, and compliance
  • Balance innovation with risk management, auditability, and regulatory expectations
  • Stay ahead of industry trends and represent Vanguard within the broader analytics and AI community
Manage Investments and Partnerships
  • Lead budget planning and prioritize technology investments aligned to strategic objectives
  • Oversee vendor relationships and partnerships, ensuring delivery accountability and value realization
What It Takes Experience & Leadership
  • 12–15+ years of experience in senior Data & AI leadership roles, delivering enterprise‑scale transformation
  • Proven ability to define strategy and execute with measurable business impact
  • Demonstrated success building and scaling high‑performing, multi‑disciplinary teams
Finance & Business Acumen
  • Strong understanding of Corporate Finance processes (e.g., FP&A, reporting, controllership)
  • Track record of applying data, analytics, and AI to improve efficiency, accuracy, and decision‑making
Technical Expertise
  • Deep experience in modern data architecture, including data products, semantic layers, and scalable pipelines
  • Hands‑on experience deploying AI solutions at scale, including generative AI and advanced orchestration frameworks
  • Familiarity with enterprise data and AI ecosystems (e.g., cloud platforms, modern data platforms, AI copilots)
Governance & Operating Model Design
  • Proven ability to establish data and AI governance frameworks (data quality, lineage, model monitoring, access controls)
  • Experience designing operating models that balance centralized governance with decentralized innovation
Transformation & Change Leadership
  • Experience leading enterprise‑wide adoption and enablement initiatives
  • Strong background in process transformation, automation, and workflow redesign
Influence & Communication
  • Exceptional ability to communicate complex technical concepts to senior business leaders
  • Strong stakeholder management and influencing skills across executive audiences
Additional Qualifications
  • Experience managing technology vendors and external partners
  • Bachelor’s degree required; MBA or advanced degree preferred
Speci…
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