TN Visa Product Lead Jobs

INTRODUCTION

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.

Responsibilities

• Define and own the product strategy, vision, roadmap, and lifecycle for a portfolio of Finance Data Products, including entity master data, financial transactions, chart of accounts hierarchies, forecast data, and operational KPIs.

• Translate ambiguous business needs into clear product requirements, defining data schemas, quality thresholds, and freshness SLAs.

• Establish a trusted data product catalog and drive alignment on shared semantic standards and canonical data models.

• Champion data product reusability (design once, serve many) to eliminate redundant pipelines, inconsistent versions of the truth, and technical debt.

• Apply machine learning techniques (e.g., anomaly detection, classification, entity resolution, NLP) to data infrastructure, automating data quality monitoring, accelerating high-friction data preparation tasks, and reducing manual validation.

• Partner with data engineering and ML platform teams to build intelligent pipelines capable of self-healing, adaptive schema management, and automated issue triage.

• Evaluate and deploy foundation models to improve data discovery, metadata enrichment, and natural language access to Finance data.

• Mitigate AI limitations and bias risks in financial contexts, ensuring that AI augmentation enhances - rather than undermines - audit trails, regulatory compliance, and data integrity.

• Establish robust data governance and quality standards by defining and enforcing strict dimensions (completeness, accuracy, consistency, timeliness, and validity) through automated scorecards and proactive alerting systems.

• Collaborate with Finance Controllers and Regulatory Reporting teams to ensure Data Products meet SOX compliance, audit trail obligations, and data retention policies.

• Drive comprehensive data lineage visibility and implement role-based access governance, balancing the protection of sensitive financial data with accessibility.

• Drive stakeholder engagement and end-to-end product delivery by acting as the primary accountable owner for your portfolio, bridging the gap between business partners, data engineers, and platform teams.

• Conduct discovery sessions with Finance partners (FP&A, Accounting, Tax, Treasury, Internal Audit) to surface unmet needs, prioritize the roadmap, and manage a disciplined, value-driven product backlog.

• Communicate product status, risks, and decisions clearly to leadership, establishing clear escalation paths when delivery blockers or quality issues put downstream capabilities at risk.

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.

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.

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 $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.

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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.