Job Summary A SAP Data Leader with 20+ years of experience serving as a strategic advisor to the Csuite and leading largescale 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 AIdriven 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 Clevel leaders, shape strategic decisions, and demonstrate the business value of intelligent, datadriven technologies.

- Data Governance And Quality: Establish enterprisewide 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 crossfunctional initiatives.





- PreSales 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 contemporary 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: Bachelors or Masters 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.

- ProblemSolving: Strong ability to resolve critical project risks and challenges.

- Data Modeling: Expertise in semantic modeling, CDS Views, and data lineage

📌 SAP Data-AD Professional (Noida)
🏢 EY
📍 Noida