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Apple

Sr Engineering Manager, Finance Data Engineering & AI Enablement

Apple Sunnyvale, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

3 d ago
engineering-manager Principal (10+ yrs) Full-time United States
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About the role

You will architect and scale modern financial data platforms to power reporting, advanced analytics, and AI-driven automation. The role involves leading initiatives to ensure financial data is reliable, governed, and strategically aligned with business priorities.

What they look for

Data Engineering AI Enablement Financial Data Cloud-native Architectures Distributed Systems Financial Reporting Data Governance Predictive Analytics Automation Strategic Planning Stakeholder Management Technology Transformation Team Leadership Executive Communication

Requirements

Candidates must have a bachelor's degree and 10-14 years of progressive experience in data engineering or enterprise engineering. Additionally, 6+ years of people management experience and deep expertise in modern cloud-native data architectures are required.

Full description

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.

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