CVS Health

VP, Finance Optimization - Enterprise

Washington, DC, US$300,000-$400,000Posted 9 days ago

Job Description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

The Vice President, Finance Optimization will lead the transformation of Finance across CVS Health — common systems, an Enterprise process for forecasting and planning, and data that is structured, governed, and readily available. This leader will own the design and drive its adoption in every Business Unit. The outcome is a Finance organization that makes faster, better-informed decisions and can see risk and opportunity earlier.

Major Responsibilities

Finance Optimization Roadmap

  • Owns the Finance business capability roadmap and co-owns the integrated delivery plan with DDAT (Digital/Data/Analytics/Technology), jointly accountable for scope, sequence, and outcomes. Charged with maintaining a single business optimization roadmap for all of Finance with clear timelines, thoughtful change management planning, business case development and tracking against a defined and measurable ROI. Also accountable for delivering against budget and forecasted spend for Finance Optimization roadmap work (both operating expense and capital expense).
  • Supports DDAT in the delivery of the core Finance platforms — SAP for ERP and Ledger, Anaplan for planning — through implementation, adoption, and retirement of legacy systems.
  • Develop robust communication and change management plans to support colleague adoption of new technologies and ways of working, ensuring a simple and consistent vision.

Data Governance & Process

* Own the financial data domain — how financial data is structured, who owns it, who has access to it, the

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