SAP Data-AD

Job description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. A SAP Data Leader with 20+ years of experience serving as a strategic advisor to the C‑suite and leading large‑scale data transformation initiatives, including SAP S/4HANA programs. The role requires deep expertise in modernizing legacy data landscapes using SAP Business Data Cloud (BDC), Datasphere, and AI‑driven analytics. Core Responsibilities Strategic Data Leadership And Architecture: Set the enterprise data strategy and roadmap, positioning SAP Business Data Cloud as the foundation for analytics and AI. Transformation Program Management: Lead complex SAP S/4HANA data migration and modernization programs at scale. Executive Advisory And Stakeholder Management: Advise C‑level leaders, shape strategic decisions, and demonstrate the business value of intelligent, data‑driven technologies. Data Governance And Quality: Establish enterprise‑wide data governance, including standards for data quality, stewardship, and master data management (MDG). Innovation And AI Adoption: Drive adoption of AI, machine learning, and advanced analytics solutions (e.g., SAP Joule, Predictive Analytics). Team Leadership & Mentorship: Lead and mentor global SAP teams, ensuring successful delivery across cross‑functional initiatives. Pre‑Sales & Business Development: Support business growth through solution design, proposal development, and client engagement. Required Qualifications And Experience Experience: 20+ years in IT, including 10+ years in SAP Data & Analytics architecture and strategy with 5+ years in Leadership roles Data Technologies: Proficiency in SAP Datasphere, BODS, Information Steward, and data migration tools (e.g., Syniti, LTMC). Architectural Skills: Experience designing modern data platforms and integrating SAP with non‑SAP ecosystems (e.g., Snowflake, Databricks). Leadership: Proven capability to lead global teams and drive transformation in complex organizations. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or Business Administration. Key Skills And Competencies Strategic Thinking: Ability to align data strategy with business objectives. Communication: Skilled at simplifying technical concepts for executive audiences. Problem‑Solving: Strong ability to resolve critical project risks and challenges. Data Modeling: Expertise in semantic modeling, CDS Views, and data lineage EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.