{"id":3767080,"url":"https://alion.io/job/apple-sr-engineering-manager-finance-data-engineering-ai-enablement","title":"Sr Engineering Manager, Finance Data Engineering & AI Enablement","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":89,"open_postings":835,"ghost_share":0,"stale_share":0.218,"repost_share":0.006,"time_to_fill_p50_days":90,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-11-04T19:43:40Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T19:47:23Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking an accomplished Senior Engineering Manager to lead Finance Data Engineering and AI Enablement initiatives that unlock business value from enterprise financial data.\nOperating at the intersection of Finance, Data Platforms, and AI teams, you will ensure financial data is reliable, governed, and architected to unlock advanced analytics and AI, while maintaining compliance and operational rigor.\nDescription\nYou will architect and scale modern financial data platforms that power reporting, advanced analytics, and AI-driven automation. You will transform financial data into a strategic asset, enabling faster insights, intelligent automation, and predictive decision-making across Finance. The role requires deep expertise in modern data engineering, strong financial domain understanding, and the ability to translate Finance priorities into robust technical solutions.\nMinimum Qualifications\nBachelor’s degree in Computer Science, Information Systems, or equivalent\n10-14 years of progressive experience in data engineering or enterprise engineering\n6+ years of people management experience.\nDeep expertise in modern data architectures (cloud-native, distributed systems).\nStrong understanding of financial reporting and analytics use cases.\nExperience enabling AI use cases using enterprise data.\nProven experience partnering with senior business stakeholders.\nPreferred Qualifications\nExpertise in financial processes and associated compliance requirements\nStrong executive communication and influencing skills.\nExperience in leading significant technology transformations.\nExperience in leading and developing high-performing teams in a fast-paced, dynamic, and innovative 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