Sr Engineering Manager, Finance Data Engineering & AI Enablement at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

0.0

Posted On

12 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Enablement, Cloud-Native, Distributed Systems, Financial Data, Advanced Analytics, AI-Driven Automation, Data Platforms, People Management, Financial Reporting, Executive Communication, Technology Transformation

Industry

Computers and Electronics Manufacturing

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 be responsible for transforming 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 8+ 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.

Responsibilities

The manager will architect and scale modern financial data platforms to support reporting, advanced analytics, and AI-driven automation, transforming financial data into a strategic asset for faster insights and predictive decision-making. This involves leading initiatives at the intersection of Finance, Data Platforms, and AI teams to ensure data reliability, governance, and compliance.