Sr Engineering Manager, Finance Data Engineering & AI Enablement - Jobs - Careers at Apple
- Lead the design and implementation of scalable financial data architectures, ensuring data quality, transformation, and platform performance.
- Partner with AI teams to prepare and govern enterprise financial data for AI use cases, ensuring secure access and enabling AI-driven functions like close acceleration, anomaly detection, intelligent reconciliations, and predictive insights, while maintaining explainability and alignment with financial controls.
- Act as a key technology partner to Finance leaders by translating complex processes into scalable data solutions, aligning engineering with strategic priorities, communicating risks clearly to non-technical stakeholders, and driving measurable business outcomes from data and AI investments.
- Collaborate with Enterprise Data, Cloud, and Security teams to align architecture, ensure financial data compliance, influence Finance data strategy, and promote common data frameworks.
- Lead a high-performing team to deliver Finance initiatives predictably through strong engineering practices, including CI/CD, automated testing, observability, and high platform availability and SLA adherence.
- Ensure financial data systems comply with internal controls, collaborate with Audit and Security, integrate governance into engineering, and balance innovation with discipline.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent
- 10–14 years of progressive experience in data engineering or enterprise engineering
- 6+ years of people management experience.
- Deep expertise in modern data architectures (cloud-native, distributed systems).
- Strong understanding of financial reporting and analytics use cases.
- Experience enabling AI use cases using enterprise data.
- Proven experience partnering with senior business stakeholders.
- Expertise in financial processes and associated compliance requirements
- Strong executive communication and influencing skills.
- Experience in leading significant technology transformations.
- Experience in leading and developing high-performing teams in a fast-paced, dynamic, and innovative environment.
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Required Languages
🇬🇧 English