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# Data Engineering Manager, Finance Data & AI Foundation

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Systems, Databases, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Distributed Data Store, Machine Learning, SAP HANA, Software Construction, Software Engineering, Feature Engineering, Information Technology
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/a81f9d67-2e58-440b-a485-96adf33ea49a

## About the Role

Bachelor's degree in Computer Science, Information Systems, or equivalent

8-12 years of experience in data engineering or software engineering

5+ years of engineering management experience

Strong experience in: Data modeling and transformation, Distributed data platforms or enterprise databases, Software engineering best practices

Experience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives

Preferred Qualifications

Experience driving the implementation of data governance and quality standards

Strong stakeholder management skills in Finance or enterprise functions

## Description

We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives, building scalable, high-performance financial data systems that power reporting, analytics, and AI-driven transformation.

This role is execution-focused: leading a team of engineers to build, optimize, and modernize financial data systems that directly support Finance's business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise, solid software engineering fundamentals, and strong collaboration with Finance stakeholders., You will be responsible for designing and delivering robust financial data solutions across modern data platforms - including cloud data environments and enterprise databases such as SAP HANA - while applying strong software engineering principles to ensure scalability, reliability, and performance.