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Location
In office (Sunnyvale)
Seniority
Senior · 10+ years exp
Visa
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Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 4, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

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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