トレンド企業

Apple
Apple

Think Different.

Data Products & Metrics Foundation Lead - Wallet, Payments & Commerce

職種データサイエンス
経験リード級
勤務地Cary, New Caledonia, United States
勤務オンサイト
雇用正社員
掲載1ヶ月前
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Architect the future of data consumption across Apple's Wallet, Payments & Commerce by shaping metrics foundation, headless BI, and AI-driven insights strategy. Serves as a solution architect, driving alignment, standards, and long-term architecture for how data is modeled, accessed, and consumed.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

Description:

Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. Our team collaborates deeply with partners across product, design, engineering and business teams: our mission is to drive innovation by providing the business and data scientist partners best in class systems and tools to make decisions that improve the customer experience. This will include leveraging large and complex data sources, helping derive actionable insights, delivering dynamic and intuitive decision tools, and bringing our data to life via interactive self serve decision tooling with an eye to meet high standards of trust, accuracy, legal and privacy compliance.

The ideal candidate is a self-motivated team player, skilled in a broad set of data product tools and techniques with a strong sense of Apple design philosophy. The candidate will have the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible path forward at all times.

  • This is a rare opportunity to define the analytics foundation for one of Apple's most strategically important business areas
  • Wallet, Payments & Commerce. You won't be maintaining the status quo; you'll be building the future - from metrics architecture to AI-driven decision intelligence - at a scale and quality standard that only Apple demands","responsibilities":"Metrics Foundation & Headless BI

Design and own the metrics layer - defining how metrics are modeled, governed, and consumed across the organization

Architect and implement a headless BI strategy decoupling metric definitions from visualization/consumption tools

Build and maintain a centralized metrics store ensuring single source of truth for all KPIs and business metrics

Define metric ownership, versioning, and certification standards to ensure trusted, consistent consumption across all teams

BI Architecture & Visualization Strategy:

Own the future-state visualization strategy - including self-serve, embedded analytics, and AI-assisted insights

Serve as the BI Solution Architect - evaluating, selecting, and governing visualization and reporting tools

Establish BI tool standards, best practices, and governance frameworks

Lead the transformation of BI from legacy reporting to a modern, AI-driven data consumption model

Lead build vs. buy evaluations for BI and visualization capabilities, balancing innovation with Apple's standards

Partner with Legal, Privacy, and Compliance teams to ensure data consumption practices meet Apple's trust and privacy standards

Leadership & Strategy:

Operate as a senior IC with organizational influence across multiple LOBs

Define the long-term vision and strategy for metrics engineering and data products

Influence and contribute to the data platform roadmap from an analytics and BI perspective

Drive organizational alignment on metric definitions, data literacy, and analytics standards

Present and communicate analytics strategy and roadmap to senior leadership

Stay ahead of industry trends in headless BI, metrics layers, and data visualization

Innovation & AI Readiness:

Build the semantic foundation required for LLM-powered analytics - clean metrics, trusted definitions, governed access

Evaluate and adopt modern tools for semantic modeling and headless BI

Enable multi-modal data consumption - dashboards, APIs, embedded analytics, and AI assistants from a single source of truth

Act as a thought leader on emerging trends in BI + AI convergence, guiding long-term roadmap and investments

Drive transformation from reporting → insights → decision intelligence

Preferred Qualifications:

Familiarity with payments, commerce, or fintech data - transaction metrics, funnel analytics, financial KPIs

Familiarity with AI-driven analytics / conversational BI

Knowledge of data governance, data cataloging, and metadata management

Strong SQL skills, with exposure to Python and large-scale data processing frameworks (e.g., Apache Spark)

Experience working closely with data engineering and platform teams to align on data models, and infrastructure/platform requirements

Experience navigating complex organization dynamics and driving cross-functional initiatives to completion in a fast-paced environment

Proven record in leading junior engineers to build metrics or BI foundation

Minimum Qualifications:

Bachelor's or Master's degree in Computer Science or a related technical field or equivalent experience

10+ years of experience in designing, developing and deploying next-gen Analytical Data Products.

3+ years in a lead, architect, or senior IC role in Metrics foundation and BI solution design

Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization.

Experience implementing or working with headless BI / semantic layer tools

Demonstrated ability to influence without authority across engineering and business teams

Excellent Executive communication skills with both technical and non-technical audiences

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 $172,100 and $305,600, 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.

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Appleについて

Apple

Apple

Public

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

従業員数

Cupertino

本社所在地

$3.5T

企業価値

レビュー

10件のレビュー

3.9

10件のレビュー

ワークライフバランス

2.8

報酬

4.2

企業文化

3.6

キャリア

3.4

経営陣

3.2

72%

知人への推奨率

良い点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

改善点

Work-life balance challenges

Fast-paced and high-stress environment

Long hours and heavy workload

給与レンジ

11,365件のデータ

Junior/L3

L2

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist ICT2

0件のレポート

$121,979

年収総額

基本給

-

ストック

-

ボーナス

-

$103,682

$140,276

面接レビュー

レビュー3件

難易度

3.3

/ 5

期間

28-42週間

内定率

33%

体験

ポジティブ 33%

普通 0%

ネガティブ 67%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience