SAP Data-AD Professional

EY; Dadri; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY India seeks a SAP Data Leader with 20+ years of IT experience to act as a strategic advisor to Csuite and lead largescale data transformation programs, including SAP S/4HANA initiatives. The role emphasizes modernizing legacy data landscapes with SAP Datasphere and AI-driven analytics, governance, data migration, and driving value through leadership of global SAP teams and pre‑sales collaboration.

Experience in integrating SAP with non‑SAP ecosystems such as Snowflake and Databricks, and a

Qualifications

• 20+ years in IT with 10+ years in SAP Data Analytics architecture and strategy
• Proficiency in SAP Datasphere, BODS, Information Steward, and data migration tools
• Architectural experience designing modern data platforms integrating SAP with non-SAP ecosystems
• Demonstrated leadership leading global teams and driving transformation
• Bachelor's or Master's degree in CS, Engineering, or Business Administration

Responsibilities

• Set enterprise data strategy and roadmap, positioning SAP Business Data Cloud as analytics foundation
• Lead SAP S/4HANA data migration and modernization programs at scale
• Advise C-level leaders and shape strategic decisions with data-driven insights
• Establish enterprisewide data governance, including data quality and MDG
• Drive AI adoption and advanced analytics (e.g., Joule, Predictive Analytics)
• Lead and mentor global SAP teams across cross-functional initiatives
• Support pre-sales by designing solutions, proposals, and client engagements

Skills

Strategic thinking

Communication

Problem solving

Data modeling

Education

Bachelor's or Master's in CS/Engineering/Business Administration

Tools

SAP Datasphere

Business Objects/Data Services (BODS)

Information Steward

LTMC

Syniti

Databricks

Snowflake

Job description

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 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: 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