SAP Data-AD
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 18, 2026.
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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
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