AIML Data Operations - Director, Business and Capacity Planning, Data Analytics

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 296,000 - 474,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Director of AIML Data Operations, Business and Capacity Planning and Data Analytics in Cupertino, CA.

The role leads forecasting, capacity planning, data products, metrics, and modeling efforts to support unreleased AI technology and high-quality data annotation programs. You will partner with executive leadership, finance, HR, engineering, and program management to forecast demand, size the workforce, and drive annual plans while ensuring timely delivery of annotated

Qualifications

• Bachelors in CS/Stats/Math/Economics or related field.
• 15+ years in Forecasting, Planning, Data Analytics or Data Science.
• Proficiency with large-scale data analytics for complex problems.
• Production-ready forecasting models experience.
• Ability to condense analyses into actionable takeaways.

Responsibilities

• Develop annual capacity plans across engineering organizations, teams, skills, and geographies.
• Translate business strategy and product priorities into engineering capacity requirements.
• Balance headcount, contractors, vendors, automation, and AI-enabled development.
• Identify capacity constraints and bottlenecks early.
• Drive the annual planning process from strategy to execution targets.
• Partner with Engineering, Product, Finance, HR, and leadership to align plans.
• Lead a team of data scientists, business analysts and EPMs.
• Understand data and prepare projects for execution with engineering teams.
• Optimize workload distribution for timely, high-quality data annotation.

Skills

Forecasting experience

Data analytics

Python/R/SQL

Communication

Team leadership

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics or related field

Master's degree or related professional certifications

Tools

scikit-learn

Python

SQL

Job description

AIML Data Operations - Director, Business and Capacity Planning, Data Analytics

Cupertino, California, United States Machine Learning and AI

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. The Data Operations Planning and Analytics team provides leadership in forecasting, capacity planning and optimization, annual planning, data products, metrics reporting, and modeling & experimentation.The AIML Data Operations team is dedicated to technology, with a primary focus on enhancing the customer experience. The Director of Business and Capacity Planning and Data Analytics, is responsible for shaping the organization's business and capacity plans and seeing the organization more clearly through data. Working closely with executive leadership, cross functional EPM’s and Engineering DRI’s, and business leaders, this role builds a high-performance culture.

Description

The ideal candidate for this role is an experienced leader who loves working with people across technical and non-technical domains to solve problems and deliver results. You will work with teams in finance, operations, engineering, and program management to forecast demand, develop capacity plans, and resulting HC plans and annual plans and partner in the execution of annotations projects that support teams across Apple’s ecosystem who are working on cutting-edge AI and machine learning technology.

Responsibilities

• Develop annual capacity plans across engineering organizations, teams, skills, and geographies.
• Translate business strategy and product priorities into engineering capacity requirements.
• Balance headcount, contractors, vendors, automation, AI-assisted development, and platform investments.
• Identify capacity constraints, skill gaps, and organizational bottlenecks early.
• Drive the annual planning process from strategic priorities through resource allocation and execution targets.
• Establish planning assumptions, scenarios, and trade-offs.
• Partner with Engineering, Product, Finance, HR, and executive leadership to align plans.
• Build mechanisms for re-planning as business priorities and technology directions change.
• Lead a team of highly capable data scientists, business analysts and EPM’s.
• Understand data and prepare projects for execution, partnering with engineering teams to improve project execution.
• Engage with engineering, data science, and quality assurance teams across Apple's ecosystem to optimize the distribution of annotation workloads, ensuring the successful timely delivery of high-quality labeled data.
• Convert internal customers' project needs into quantifiable demand requirements to determine optimal workforce sizing, selection, and scheduling strategies necessary to deliver projects successfully.
• Continually assess existing workforce capability against internal customer data annotation requirements, making real-time decisions to expand workforce availability and ensure on-time, high-quality delivery.
• Research and evaluate emerging tools and techniques in the forecasting space to advance and improve the suite of capacity planning models tools used for efficient production brokering
• Partner with internal and external stakeholders to identify automation opportunities, define technical requirements, develop AI/ML models, and facilitate stakeholder evaluation and testing cycles.
• Communicate performance trends to leaders on an ongoing basis, highlighting and spearheading opportunities to drive further efficiency across the data operations organization.

Minimum Qualifications

• Bachelors degree in Computer Science, Statistics, Mathematics, Economics or related field.
• 15+ years of experience in Forecasting, Planning, Data Analyst, or Data Science roles
• Proficiency with using large scale data analytics in service of solving complex business problems
• Understanding of Python or R, SQL, tools such as scikit-learn, and forecasting libraries.
• Extensive experience building production-ready models for forecasting applications.
• Ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Superb communication, story telling, and presentation skills with meticulous attention to detail.
• Excellent in teamwork and relationship building.
• Self-directed, intellectually curious, and proactive. You thrive in an ambiguous and fast-paced environment.

Preferred Qualifications

• Master's degree or relevant professional certifications in a related field.

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 $296,400 and $473,600, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.