Program Manager, Finance Transformation Data Strategy

Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldnt have imagined and now cant imagine living without. The Finance Transformation (FT) team is shaping the future of Finance from modernizing our systems re-engineering our finance workflows and implementing innovative AI solutions. At the very core our data platform and encompassing strategy is the foundation to a transformed and trusted environment.

The Finance Transformation PMO is seeking a Data Strategy Program Manager to serve as a critical bridge between Finance stakeholders and Engineering. This role sits at the intersection of data strategy analytics and technical/program management responsible for both shaping how Finance defines and governs its data and ensuring that the engineering work required to realize that vision is delivered on time and with is a high-impact individual contributor (IC) role for someone who is equally comfortable orchestrating a cross-functional program whiteboarding data models with business partners and supporting the Engineering team during various scrum ceremonies. The Data Strategy Program Manager will serve as a data stewardship advocate driving data quality consistency and governance best practices across Finance. This role reports directly to the Head of the Finance Transformation PMO.

Partner with Finance business leads to understand data needs pain points and strategic priorities translating them into clear data requirements and use casesnDefine and maintain a Finance data source of truth: establishing ownership definitions lineage and standards for key data domains (e.g. actuals headcount forecasts KPIs)nLead data discovery and intake processes facilitating working sessions to align stakeholders on what data is needed how it should be structured and how it will be consumednDevelop and maintain data dictionaries data maps and documentation that codify business logic and support self-service analyticsnIdentify gaps between current data capabilities and strategic business needs and build the case for investment to close themnDrive 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 requirementsnPrioritize SOX-relevant datasets and use cases for Gold-tier certification ensuring Finance data used in SEC filings key control reports and tax and audit processes meets the highest standards for security and data controlsnSupport the formation and ongoing operations of a Finance Data Council facilitating governance discussions aligning on certification standards and driving accountability for data ownership across teams. nPartner with teammates on developing and maintaining a Finance Glossary and Ontology codifying consistent definitions business logic and data relationships to eliminate ambiguity to support process inventory connecting process to data nodes. nOwn end-to-end program management for data and analytics engineering initiatives from scoping and planning through delivery and retrospectivenPartner with Engineering lead to define project scope sequencing milestones and success criterianBuild and maintain program plans roadmaps and status dashboards that provide clear visibility to stakeholders at all levelsnIdentify dependencies surface risks and proactively drive resolution keeping engineering teams unblocked and alignednFacilitate cross-functional ceremonies: kickoffs weekly syncs design reviews and executive readoutsnTrack and report on delivery health escalating where needed with clear framing and recommended paths forwardnTranslate technical constraints and trade-offs into language accessible to Finance partners and vice versan

5 years of experience in technical/program management data strategy or analytics ideally in a Finance or enterprise transformation contextnBachelors degree in Business Management Computer Science Engineering or related field

8 years of experience in technical/program management data strategy or analytics ideally in a Finance or enterprise transformation contextnStrong understanding of data concepts: data modeling data governance metrics definitions BI/reporting pipelines and analytics platformsnProven ability to drive alignment across business and technical stakeholders in complex matrixed organizations. nProven ability to go from planning to execution and delivering work products. nExperience owning end-to-end program delivery with Engineering teams (Agile/Scrum or hybrid methodologies)nExceptional communication skills able to synthesize ambiguity into clarity for both executive and working-level audiences. Ability to influence senior leaders above and communicate with peers seamlessly. nHigh degree of organizational rigor: skilled at tracking multiple workstreams maintaining documentation and managing competing priorities. Report status and health on work products and manage risk on projects. nBackground in Finance operations FPu0026A or Finance systems (e.g. ERP financial reporting tools)nFamiliarity with data infrastructure concepts: data warehouses ETL/ELT pipelines SQL or cloud data platformsnHands-on experience with or exposure to tools in the Finance data ecosystem including Snowflake SAP Dataiku or similar enterprise data toolsnExperience with AI or eager to learn as many of the data products are foundation to the AI strategy. nExperience with program tracking tools (e.g. Wrike) and/or customer of the shelf or homegrown reporting/BI toolsnPMP PgMP or equivalent certification a plus