Product Manager — Finance Transformation, Data at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Strategy, Finance Transformation, Data Governance, Business-to-Technical Translation, Generative AI, Machine Learning, Stakeholder Management, Data-Driven Decision Making, ERP Systems, FinTech, Product Requirements, Intelligent Automation, Data Quality Monitoring, Pipeline Development

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what we could accomplish. The Finance Transformation team is evolving from a project-centric delivery model to a product-led mindset, ensuring our internal tools are as intuitive and innovative as the products Apple sells. We are looking for a Product Manager who thrives at the intersection of business needs and technical solutions. As a Data Product Manager within Apple's Finance organization, you will own the strategy, definition, and delivery of Finance Data Products — the curated, governed, high-quality data assets that power everything from internal reporting and audit compliance to AI-driven forecasting and intelligent business operations. DESCRIPTION In Finance, this means transforming raw financial data — transactions, ledger entries, entity hierarchies, forecasts, and actuals — into reliable, well-governed, semantically consistent data products that can serve analysts, machine learning models, regulatory systems, and executive decision-making simultaneously. This is not a data engineering role, and it is not a business analyst role. You are a product manager who works in data — responsible for defining what data products need to exist, why they matter, what "good" looks like, and how they will be built, governed, and continuously improved. Critically, you will bring an AI-first mindset to this work — actively leveraging machine learning techniques to automate data quality monitoring, accelerate pipeline development, and systematically reduce the manual effort that constrains Finance's data capabilities today. This is an emerging function at Apple, which means you will have the rare opportunity to define what it means to be a Data Product Manager in one of the most complex Finance environments in the world — setting standards, influencing architecture, and building a practice that scales across the organization. MINIMUM QUALIFICATIONS 5+ years of experience in Product Management, specifically within Enterprise, FinTech, SaaS, or Platform organizations. BS/BA degree required in Computer Science, Business, Finance, or a related field. PREFERRED QUALIFICATIONS Business-to-Technical Translation: Demonstrated ability to work between business stakeholders and engineering teams. You know how to take business problems and translate them into clear product requirements and feature specifications. Product Thinking: Experience moving beyond requirements gathering to defining user value and outcomes. You understand the difference between delivering a project and delivering a product. AI & Emerging Technology: Interest in or experience with Generative AI, AI agents, or intelligent automation. You are excited about how AI can fundamentally transform business workflows, not just add a chatbot layer. Stakeholder Management: Proven ability to influence without authority, building alignment across diverse teams including Finance business partners, Engineering, Design, and Data Science. Data-Driven Decision Making: Comfortable using metrics, user feedback, and business data to inform prioritization and measure success. Education: MBA or technical graduate degree is a plus. Domain Expertise: Experience in Finance Transformation, ERP systems, internal tools, or FinTech is highly desirable.

Responsibilities

You will own the strategy, definition, and delivery of Finance Data Products to support internal reporting, audit compliance, and AI-driven forecasting. You will also define standards and leverage machine learning to automate data quality and improve financial data capabilities.