Data Product Engineer

We are looking for a Data Product Manager who combines strong product thinking with a solid engineering foundation to build and scale high-impact data products for Finance.

This role sits at the intersection of finance, data engineering, and analytics. You will define and drive the vision, roadmap, and delivery of finance data products that are reliable, governed, and aligned to business outcomes. You will work closely with finance stakeholders (FP&A, controllership, treasury), data engineers, architects, and governance teams to ensure data products are not only well-designed but also successfully adopted.

The ideal candidate is equally comfortable discussing financial metrics with business leaders and diving into technical discussions around data modeling, transformation pipelines, semantic layers, and metadata platforms.

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.

You will define the vision, strategy, and roadmap for finance data products aligned with business priorities such as close acceleration, forecast accuracy, and regulatory reporting. You will identify and prioritize use cases based on value, risk, and feasibility, establish clear product definitions including consumers, SLAs, and success metrics, and own the lifecycle of data products from ideation through adoption and eventual deprecation.
You will partner closely with finance stakeholders across FP&A, accounting, treasury, and tax to understand business processes and data needs. You will translate financial concepts such as revenue recognition, cost allocations, and hierarchies into scalable, governed data models while ensuring alignment with financial controls, audit requirements, and regulatory standards including SOX and GAAP/IFRS.
You will collaborate with architects and engineers to design canonical data models, define data contracts, and establish semantic layers that standardize key financial metrics and dimensions. You will ensure consistency and interoperability of data products across platforms such as Snowflake and Databricks, and define how curated data is exposed through transformation layers like dbt and semantic tools such as Cube or AtScale.
You will work closely with data engineering teams to translate product requirements into technical specifications and deliverables. You will participate in agile processes including backlog prioritization and sprint planning, and ensure that data pipelines and transformations are scalable, performant, and aligned with enterprise architecture standards within modern data stacks.
You will define and enforce data quality rules, validation checks, and certification tiers to ensure trust in finance data products. You will partner with governance teams using tools such as DataHub or Collibra to enable metadata management, lineage tracking, and discoverability, while ensuring data products are well-documented, monitored, and compliant with governance standards.
You will communicate product vision, roadmap, and progress clearly to both technical and business stakeholders. You will drive adoption through enablement, documentation, and feedback loops, and measure product success using KPIs such as adoption, data quality, and measurable business impact.

5–10+ years of experience in data, product management, analytics, or engineering roles, preferably in finance or fintech.
BS/BA degree required in Computer Science, Business, Finance, or a related field.

Strong product mindset with experience owning and scaling data or platform products.
Experience with cloud data platforms (Snowflake, Databricks)
Strong understanding of SQL and data transformation frameworks (dbt preferred)
Familiarity with data catalogs and governance tools (DataHub, Collibra)
Exposure to semantic layer tools (Cube, AtScale, LookML, or similar)
Good understanding of finance processes and data (GL, P&L, forecasting, reporting).
Experience working in governed environments with data quality, lineage, and compliance considerations.
Ability to bridge business and engineering teams and drive alignment across diverse stakeholders.

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.

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 $258,600, 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.

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Apple accepts applications to this posting on an ongoing basis.