Finance Digital Transformation - Engineering Manager

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders.

The Finance Digital Transformation team delivers machine learning solutions to Apple's Finance organization. As a team of technical data professionals, we partner with internal and external teams to build innovative products that evolve Finance's decision making capabilities.

Description

This leadership role requires a unique blend of technical expertise, people management skills and business acumen. As an FDT Engineering Manager you will provide leadership, help plan and execute, build solutions and enable innovative career paths for a team of data scientists and machine learning engineers.","responsibilities":"Lead a team of product data scientists and machine learning engineers

Build a team culture focused on innovation and empowerment

Manage sprint planning and execution

Work collaboratively with product and program managers

Implement standards and frameworks in coordination with foundations team

Innovate and contribute to product features

Understand policies to protect data, models and Apple assets

Preferred Qualifications

Familiarity with encryption and data security standards

Experience with the software development lifecycle and version control

Experience working with containerized environments

Corporate finance and accounting experience an advantage

Minimum Qualifications

M.S. in related quantitative field with three years of experience leading a data team

5+ years of experience developing and delivering data driven solutions

2+ years managing technical or product centric teams

Experience delivering data solutions in product context using agile scrum

Practical experience with and theoretical understanding of algorithms and methods for forecasting, regression and classification

Experience implementing and supporting data pipelines

Understanding of and hands on experience with relational databases

Excellent visual communication ability using code or software

SQL and python expert including experience evaluating and optimizing others' code

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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 $176,600 and $265,600, 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.