- Apple
- Sunnyvale, CA
- Full-Time
- <48 Hours
Sr Engineering Manager, Finance Data Engineering & AI Enablement.
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Sr Engineering Manager, Finance Data Engineering & AI Enablement: our view in 3 lines...
- The Role:This role leads the building and scaling of financial data platforms that support reporting, analytics and AI-driven automation for Finance.
- The Person:The person will lead Finance Data Engineering and AI Enablement initiatives, architecting and scaling financial data platforms that power reporting, advanced analytics and AI-driven automation.
- Requirements:The ideal candidate holds a Bachelor's degree in Computer Science, Information Systems, or equivalent, with deep expertise in modern data architectures, cloud native and distributed systems, and experience enabling AI use cases using enterprise data.
About the role
We are seeking an accomplished Senior Engineering Manager to lead Finance Data Engineering and AI Enablement initiatives that unlock business value from enterprise financial data.
Operating at the intersection of Finance, Data Platforms, and AI teams, you will ensure financial data is reliable, governed, and architected to unlock advanced analytics and AI, while maintaining compliance and operational rigor.
Description
You will architect and scale modern financial data platforms that power reporting, advanced analytics, and AI-driven automation. You will transform financial data into a strategic asset, enabling faster insights, intelligent automation, and predictive decision-making across Finance. The role requires deep expertise in modern data engineering, strong financial domain understanding, and the ability to translate Finance priorities into robust technical solutions.
Minimum Qualifications
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 (cloud-native, 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.
Preferred Qualifications
Expertise in financial processes and associated compliance requirements
Strong executive communication and influencing skills.
Experience in leading significant technology transformations.
Experience in leading and developing high-performing teams in a fast-paced, dynamic, and innovative environment.

