Program Manager, Finance Transformation - Data Strategy

Apple Apple · Big Tech · Austin, TX +2 · Corporate Functions

Program Manager for Data Strategy within Finance Transformation at Apple. This role bridges Finance stakeholders and Engineering, focusing on shaping data strategy, governance, and ensuring delivery of data initiatives. Responsibilities include defining data requirements, establishing a data source of truth, leading data discovery, developing data dictionaries, driving data certification programs (including SOX-relevant datasets), supporting a Finance Data Council, and owning program management for data and analytics engineering initiatives.

What you'd actually do

  1. Partner with Finance business leads to understand data needs, pain points, and strategic priorities — translating them into clear data requirements and use cases
  2. Define and maintain a Finance data source of truth: establishing ownership, definitions, lineage, and standards for key data domains (e.g., actuals, headcount, forecasts, KPIs)
  3. Drive the Finance Data Certification program — working with business stakeholders to assess, classify, and certify datasets across tiers (Raw, Curated, and Controlled) based on criticality, quality, and compliance requirements
  4. Own end-to-end program management for data and analytics engineering initiatives, from scoping and planning through delivery and retrospective
  5. Partner with Engineering lead to define project scope, sequencing, milestones, and success criteria

Skills

Required

  • 5+ years of experience in technical/program management, data strategy, or analytics
  • Bachelor’s degree in Business Management, Computer Science, Engineering or related field

Nice to have

  • 8+ years of experience in technical/program management, data strategy, or analytics
  • Strong understanding of data concepts: data modeling, data governance, metrics definitions, BI/reporting pipelines, and analytics platforms
  • Proven ability to drive alignment across business and technical stakeholders in complex, matrixed organizations.
  • Proven ability to go from planning to execution and delivering work products.
  • Experience owning end-to-end program delivery with Engineering teams (Agile/Scrum, or hybrid methodologies)
  • Exceptional communication skills
  • High degree of organizational rigor
  • Background in Finance operations, FP&A, or Finance systems (e.g., ERP, financial reporting tools)
  • Familiarity with data infrastructure concepts: data warehouses, ETL/ELT pipelines, SQL, or cloud data platforms
  • Hands-on experience with or exposure to tools in the Finance data ecosystem, including Snowflake, SAP, Dataiku or similar enterprise data tools
  • Experience with AI or eager to learn as many of the data products are foundation to the AI strategy.
  • Experience with program tracking tools (e.g., Wrike) and/or customer of the shelf or homegrown reporting/BI tools
  • PMP, PgMP, or equivalent certification a plus

What the JD emphasized

  • Finance data used in SEC filings, key control reports, and tax and audit processes meets the highest standards for security and data controls