IT & Software

Director - SAP Analytics Cloud (SAC) - Planning - TC - UKI

EY (Ernst & Young)

London · Greater London · United Kingdom

Overview

In this Director role at EY, you will lead large SAC planning engagements that transform clients’ FP&A operations. You’ll guide cross-functional teams, shape delivery strategy with client executives, and ensure outcomes align with data-driven enterprise goals. You’ll contribute to the EPM Technology leadership and help grow EY’s SAC capabilities, including developing reusable assets and go-to-market offerings. This is a hands-on leadership position at the intersection of technology and business value, aimed at driving meaningful FP&A transformation.

Pay / Benefits
  • flexible working
  • Total Rewards package
  • career development
  • health and well-being support
  • insurance and savings options
  • discounts and offers
Responsibilities
  • Lead senior delivery across complex SAP Analytics Cloud planning programmes, ensuring scope, quality, timeline and budget
  • Provide architecture oversight aligned with client data strategies and manage senior stakeholders (CFO, CIO, Head of Data/FP&A)
  • Own sales pipelines and bid teams, shaping propositions around FP&A transformation and driving revenue growth
  • Develop and evolve the EPM offering, including reusable assets and AI-enabled planning initiatives
  • Foster SAC capability growth, mentor junior colleagues, and establish delivery standards and best practices
Key requirements
  • Strong experience delivering SAP Analytics Cloud solutions with planning use cases
  • Deep understanding of finance processes and how SAC supports them
  • Proven ability to lead large-scale transformation programmes
  • Strong commercial acumen including sales, pricing, and margin management
  • Executive-level stakeholder management and multi-disciplinary team leadership
  • Stakeholder management
  • Leadership and mentoring
  • Strategic thinking and client shaping
  • SAP Analytics Cloud (SAC) planning
  • SAC architecture and data integration
  • Experience with data platforms (Datasphere, Databricks, Snowflake)

Reference: WJ-747_30174499

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