AMP Engineering Program Manager, Strategic Data Solutions

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $166,600–$296,000 / yr
Posted: 76 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $231k

$150k $312k

below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $177,250–$235,875 — the blue band above. At the midpoint, this role pays about $231k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · AMP Engineering Program Manager, Strategic Data Solutions

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The AMP Engineering Program Manager - Strategic Data Solutions joins the Strategic Data Solutions team to drive the strategy and technical development of fraud decisioning and decision automation programs for Apple Media Products and Commerce. This role involves conceptualizing and delivering analytic solutions to detect and mitigate fraud while streamlining business operations. You will partner with business, engineering, and operations teams to lead cross-functional engineering and machine learning initiatives. Key responsibilities include identifying business opportunities, developing technical implementation roadmaps, and managing the full software development release lifecycle. You will utilize skills in system and data design, fraud logic, and key performance metrics. The role requires expertise in managing complex technical projects, performing business discovery, and aligning schedules across distributed engineering and QA teams to solve adversarial fraud problems.

Skills

Machine Learning Data Analysis Fraud Detection Data Design Project Management Analytics QA

What you'll do

Drive the strategy and technical development of fraud decisioning and decision automation programs.
Develop analytic solutions with clear product functional requirements and technical implementation roadmaps.
Prioritize team work by balancing impact, cost, resourcing, timelines, success likelihood, and risk.
Manage day-to-day project activities including tracking milestones and adapting plans to changes.
Oversee the full software development release lifecycle for engineering and analytical projects.
Define system and data designs while establishing key performance metrics for fraud logic.
Identify new business opportunities and translate them into actionable technical requirements.
Coordinate cross-functional efforts between data science, engineering, and operations teams to mitigate fraud.

What we're looking for

BS or MS degree in an analytical, quantitative, or technical field such as engineering, math, computer science, finance, analytics, or statistics.
Experience structuring and leading large cross-functional technical and analytic projects.
Ability to perform business discovery, simplify complex problems, and propose innovative solutions.
Experience aligning project schedules across distributed engineering and QA teams through collaboration and influence.
Strong interpersonal skills to build partnerships and drive change through positive influence of coworkers and leaders.
Proficiency in managing project risks by predicting, assessing, tracking, and mitigating potential issues.
Preferred experience in engineering, data analysis, machine learning, or fraud detection and response.
Beneficial experience in payments, finance, or digital experience.

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