Program Manager, Finance Transformation - Data Strategy

Apple•Cupertino, CA

15h

About The Position

The Finance Transformation (FT) team is shaping the future of Finance by modernizing systems, re-engineering workflows, and implementing innovative AI solutions. The Data Strategy Program Manager will serve as a critical bridge between Finance stakeholders and Engineering, focusing on data strategy, analytics, and technical/program management. This role involves defining and governing Finance data, ensuring the delivery of engineering work, and promoting data quality, consistency, and governance best practices. It is a high-impact, individual contributor role requiring comfort with cross-functional program orchestration, data modeling, and supporting engineering scrum ceremonies. The role reports directly to the Head of the Finance Transformation PMO.

Requirements

5+ years of experience in technical/program management, data strategy, or analytics — ideally in a Finance or enterprise transformation context
Bachelor’s degree in Business Management, Computer Science, Engineering or related field

Nice To Haves

8+ years of experience in technical/program management, data strategy, or analytics — ideally in a Finance or enterprise transformation context
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 — able to synthesize ambiguity into clarity for both executive and working-level audiences.
Ability to influence senior leaders above and communicate with peers seamlessly.
High degree of organizational rigor: skilled at tracking multiple workstreams, maintaining documentation, and managing competing priorities.
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

Responsibilities

Serve as a critical bridge between Finance stakeholders and Engineering.
Shape how Finance defines and governs its data.
Ensure engineering work required to realize the data vision is delivered on time and with rigor.
Orchestrate cross-functional programs.
Whiteboard data models with business partners.
Support the Engineering team during various scrum ceremonies.
Serve as a data stewardship advocate.
Drive data quality, consistency, and governance best practices across Finance.
Report status and health on work products.
Manage risk on projects.