About The Position

The Senior Engineering Manager will lead Finance Data Engineering and AI Enablement initiatives that unlock business value from enterprise financial data. Working at the intersection of Finance, Data Platforms, and AI teams, the role ensures financial data is reliable, governed, and architected to support advanced analytics and AI while maintaining compliance and operational rigor. The role architects and scales modern financial data platforms for reporting, advanced analytics, and AI-driven automation. It transforms financial data into a strategic asset to enable faster insights, intelligent automation, and predictive decision-making across Finance. Success requires deep modern data engineering expertise, strong financial domain understanding, and the ability to translate Finance priorities into robust technical solutions.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent.
  • 10–14 years of progressive experience in data engineering or enterprise engineering.
  • 6+ years of people management experience.
  • Deep expertise in modern data architectures, including cloud-native and distributed systems.
  • Strong understanding of financial reporting and analytics use cases.
  • Experience enabling AI use cases using enterprise data.
  • Proven experience partnering with senior business stakeholders.

Nice To Haves

  • Expertise in financial processes and associated compliance requirements.
  • Strong executive communication and influencing skills.
  • Experience leading significant technology transformations.
  • Experience leading and developing high-performing teams in a fast-paced, dynamic, and innovative environment.

Responsibilities

  • Lead Finance Data Engineering and AI Enablement initiatives.
  • Ensure financial data is reliable, governed, and architected to support advanced analytics and AI.
  • Maintain compliance and operational rigor.
  • Architect and scale modern financial data platforms for reporting, advanced analytics, and AI-driven automation.
  • Enable faster insights, intelligent automation, and predictive decision-making across Finance.
  • Translate Finance priorities into robust technical solutions.
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