Director IT Finance Gen AI Strategy & Transformation

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

Our team is leading the transformation of Finance IT at scale—modernizing how a global, publicly traded technology company handles its accounting and procurement operations. We’re not just automating old processes—we’re redefining them using Generative AI, large language models (LLMs), and intelligent automation. This role gives you full visibility and ownership from ideation to impact, within a mission-critical enterprise function. Here’s what makes us different:

Business Alignment: Our work isn’t speculative—it’s directly tied to enterprise priorities in Finance transformation and cost control.

Enterprise at Scale: You’ll operate at the level of a global company with real-world data, production systems, and executive sponsorship.

End-to-End Innovation: From LLM design to ERP integration, you’ll touch every layer of the AI stack.

Cultural Leverage: We’re blending startup speed with the deep domain knowledge and process rigor of Finance IT.

What You Can Expect

1. Accounting Innovation & Automation

• Drive Gen AI-based automation across core accounting processes such as journal entry creation, account reconciliations, period close, and subledger-to-GL flows.
• Identify opportunities to use LLMs for anomaly detection, intelligent GL coding, and automated narrative reporting.
• Enable real-time insights from large volumes of accounting transactions using AI summarization and classification.

2. ERP & Subledger Modernization

• Lead transformation initiatives for Oracle Financials and related subledgers.
• Architect scalable Gen AI use cases integrated with ERP modules to improve operational efficiency and accuracy.
• Collaborate with system owners to embed AI/ML capabilities natively or through extension platforms.

3. Indirect Procurement Transformation

• Apply Gen AI to optimize the indirect procurement lifecycle — vendor onboarding, contract review, PO creation, and spend analytics.
• Enable smart assistant capabilities for buyers (e.g., AI-driven sourcing, automated RFQ responses).
• Partner with procurement leadership to digitize workflows and improve compliance using AI.

4. Ecosystem & Platform Strategy

• Lead evaluation and implementation of AI platforms and tools that integrate with Oracle and procurement solutions.
• Establish data pipelines and governance frameworks that support safe and explainable AI in financial operations.
• Build a flexible architecture to support rapid prototyping and deployment of AI use cases.

5. Leadership & Governance

• Partner closely with Controllers, Internal Audit, Procurement, and IT to align on priorities and compliance requirements.
• Ensure solutions meet SOX, audit, and data privacy standards.

Build and lead a cross-functional team including engineers, data scientists, and business analysts.

What We’re Looking For

1. Technical Skills

• Enterprise Applications:
  • Deep knowledge of Oracle ERP (Financials, EBS) and subledger accounting systems
  • Familiarity with Procure-to-Pay (P2P) processes and systems
  • Knowledge of integration strategies for extending ERP systems using APIs, middleware, or AI extensions
• AI/ML Exposure:
  • Practical experience with Generative AI (LLMs, transformers) for enterprise use cases
  • Exposure to AI-driven automation in finance workflows (e.g., journal entry creation, reconciliations)
  • Understanding of AI model governance, model explainability, and responsible AI frameworks

2. Functional & Domain Expertise

• Finance & Accounting:
  • Deep understanding of accounting processes including GL, subledger flows, period close, and account reconciliations
  • Experience in narrative reporting, financial controls, and SOX compliance
• Procurement:
  • Knowledge of indirect procurement processes, including vendor management, contract lifecycle, and RFQ/RFP workflows
  • Understanding of spend analytics, compliance, and digital sourcing
• Audit & Risk:
  • Familiarity with internal audit requirements, compliance frameworks, and data privacy regulations

3. Strategic & Leadership Skills

• Vision & Roadmapping:
  • Ability to define a strategic roadmap for Finance IT modernization using Gen AI
  • Capability to prioritize AI use cases aligned with business impact and risk profile
• Cross-functional Collaboration:
  • Strong interpersonal skills to engage Controllers, Procurement, IT, and Internal Audit teams
  • Ability to lead interdisciplinary teams spanning data science, engineering, and finance
• Team Building & Leadership:
  • Experience building and leading cross-functional teams
  • Skilled in managing technical and non-technical talent to drive innovation
• Program Management:
  • Strong program management and transformation leadership experience
  • Familiarity with Agile/Lean methodologies in enterprise environments

Required Experience

• 15+ years in IT Finance, with at least 5 years in a leadership role
• Demonstrated track record of leading ERP transformations
• Hands-on leadership of AI/ML initiatives in finance or procurement contexts
• Proven ability to deliver measurable automation gains and improve process efficiencies
• Experience working in a highly regulated, compliance-driven environment

Preferred Qualifications

• Bachelor’s or Master’s degree in Finance, Information Systems, Computer Science, or related field
• Certifications in:
  • Oracle Financials
  • AI/ML platforms
  • Project/Program Management (PMP, Agile)
• Exposure to GenAI ethics, fairness, and model governance frameworks

Expected Base Pay Range (USD)

158,870 – 238,000, $ per annum

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

At Marvell, we offer a total compensation package with a base, bonus and equity.Health and financial wellbeing are part of the package. That means flexible time off, 401k, plus a year-end shutdown, floating holidays, paid time off to volunteer. Have a question about our benefits packages – health or financial? Ask your recruiter during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.

Our interviews are designed to assess your personal experience, thought process, and communication skills in real-time. If a candidate uses such tools during an interview, they will be disqualified from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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