About The Position

We are seeking a Senior Engineering Manager to own the SOX-certified financial data ecosystem and lead its evolution into an AI-ready, enterprise-grade financial data foundation. Operating at the intersection of Finance, Internal Audit, Security, Data Platforms, and AI engineering teams, you will ensure that compliance requirements are embedded by design — not retrofitted — and that innovation initiatives never compromise financial integrity. You will be accountable for the integrity, correctness, traceability, and control posture of financial data across its full lifecycle, including data models, transformations, reconciliations, and SOX-relevant reporting outputs. In parallel, you will ensure that enterprise financial data is structured, governed, and architected to enable advanced analytics and AI use cases safely. This role will serve as the bridge between regulatory compliance and enterprise innovation and be accountable for ensuring that financial data powering external reporting is trusted, controlled, and audit-ready, while simultaneously evolving that same data foundation to be AI-ready, scalable, and innovation-enabling. This is a high-trust role directly impacting audit outcomes, regulatory risk posture, and the organization’s ability to responsibly leverage AI in Finance.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent
  • 10–14 years of enterprise engineering or data platform experience
  • 8+ years of people leadership experience
  • Strong working knowledge of: SOX compliance, IT General Controls (ITGC), Segregation of Duties (SoD), Change management controls
  • Experience supporting financial reporting systems or certified financial data
  • Solid understanding of enterprise data architectures
  • Ability to influence cross-functional platform teams without direct authority

Nice To Haves

  • Relevant certifications (e.g., CPA, CSOE) are highly preferred
  • Experience in publicly traded companies and environments under external audit scrutiny is strongly preferred
  • Strong executive communication and influencing skills
  • Experience working with enterprise finance and data platforms such as SAP, Oracle Financials, Snowflake

Responsibilities

  • Accountable for the integrity, correctness, traceability, and control posture of financial data across its full lifecycle
  • Ensure enterprise financial data is structured, governed, and architected to enable advanced analytics and AI use cases safely
  • Serve as the bridge between regulatory compliance and enterprise innovation
  • Accountable for ensuring that financial data powering external reporting is trusted, controlled, and audit-ready, while simultaneously evolving that same data foundation to be AI-ready, scalable, and innovation-enabling
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