Deeply understand Apples relevant business activities, commercial interests, and related processes - and apply that knowledge to help define what "good" looks like for AI-generated outputs Own program planning and milestone tracking across finance AI capabilities - maintaining a clear view of deliverables, owners, timelines, and dependencies across workstreams Run structured delivery cadences - including standups, sprint planning, and action item tracking - to keep work moving with rigor and accountability Manage cross-functional dependencies and proactively surface risks, blockers, and tradeoffs before they become issues Support execution of roadmap priorities across finance capabilities - including writing requirements, consolidating and proposing priorities, and analyzing user feedback with guidance from senior team members Identify and drive solutions in response to user feedback, translating observations into actionable product improvements Lead documentation and knowledge-building efforts - maintaining shared context, frameworks, and curated resources that support team onboarding and continuity Review and validate SQL queries in collaboration with technical partners, developing proficiency in data verification and quality assurance Coordinate and ensure readiness for capability launches - managing go/no-go criteria, testing participation, and adoption follow-through Proactively identify opportunities to improve processes, tools, or analyses, demonstrating intellectual curiosity beyond the immediate scope of work Translate business requirements into technical requirements and work with engineering partners to assess feasibility and form project plans Build and maintain program infrastructure - project trackers, RACI frameworks, launch checklists, and retrospective processes - that scale as the team and roadmap grow Collaborate with engineering and data partners to influence tool and pipeline design decisions that improve usability and long-term maintainability Document and share reusable frameworks, templates, and tools to improve onboarding and speed up solution delivery 2+ years of program management, consulting or financial/business/data analyst experience BS in Finance, Accounting, Economics, Business Analytics, or BS/MS in STEM or a quantitative field (CS, Applied Statistics, Operations Research) 4+ years of program management, consulting or financial/business/data analyst experience Excellent problem-framing, problem-solving, and project management skills, with the ability to change direction quickly Strong verbal and written communication skills with the ability to articulate results of analysis in business terms Confirmed ability to conduct complex, data-driven analysis Knowledge of accounting principles, financial statements, and financial modeling A basic understanding of data design pattern differences between transactional ERP systems (e.g. BigQuery, Snowflake) Familiarity with AI/ML concepts and curiosity about how large language models and AI-powered tools can be applied to financial analysis and reporting Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity Knowledge of SQL and experience working with large datasets Experience with program management tools and methodologies Experience with data analytics tools and languages (e.g.