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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.

Description

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.","responsibilities":"Lead the design and development of scalable financial data architectures and solutions, ensuring performance, scalability, and reliability using modern cloud platforms and enterprise databases.

Achieve software engineering excellence by applying SDLC practices, enforcing modular architecture, driving engineering discipline, and enhancing system resiliency.

Prepare structured financial datasets for AI, collaborate on model training and deployment, enable real-time data capabilities, and ensure data consistency and explainability in AI finance use cases.

Optimize query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA, Singlestore, and Apache Iceberg, while supporting native database capabilities and aligning usage with enterprise standards.

Collaborate with Finance users to develop scalable technical solutions, ensure initiative execution with clear milestones, and mentor a team of data/software engineers.

Preferred Qualifications

Experience driving the implementation of data governance and quality standards

Strong stakeholder management skills in Finance or enterprise functions

Minimum Qualifications

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $206,200 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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