Associate Director - SAP Datasphere and Analytics Cloud

KDNI_SAP_Associate Director-Datasphere and SAC

Key Responsibilities

• Define and implement enterprise data architecture using SAP Datasphere and Analytic cloud to support analytics and business intelligence.
• Lead integration of heterogeneous data sources (SAP and non-SAP) ensuring data consistency and security.
• Collaborate with business units to identify data requirements and deliver scalable solutions for reporting and advanced analytics.
• Establish governance frameworks for data quality, metadata management, and compliance.
• Drive adoption of SAP Datasphere capabilities including data virtualization, semantic modeling, and federated queries.
• Manage relationships with SAP and technology partners to ensure best practices and roadmap alignment.
• Provide technical leadership for cloud-based data solutions and integration with SAP Business Technology Platform (BTP).
• Mentor data architects and engineers, fostering a culture of innovation and continuous improvement.

Essential Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 10+ years of experience in enterprise data architecture with at least 3+ years in SAP data solutions.
• Expertise in SAP Datasphere, SAP BTP, and integration technologies.
• Strong knowledge of data governance, security, and compliance frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and hybrid data environments.
• Proven ability to lead cross-functional teams and manage complex data programs.
• Excellent communication, leadership, and stakeholder management skills.

Desired Experience

• Hands-on experience with SAP Datasphere implementation and optimization.
• Background in enterprise analytics, data virtualization, and semantic modeling.
• Experience in integrating SAP and non-SAP data sources for unified reporting.
• Exposure to AI/ML-driven data insights and predictive analytics.

Key Responsibilities

• Define and implement enterprise data architecture using SAP Datasphere to support analytics and business intelligence.
• Lead integration of heterogeneous data sources (SAP and non-SAP) ensuring data consistency and security.
• Collaborate with business units to identify data requirements and deliver scalable solutions for reporting and advanced analytics.
• Establish governance frameworks for data quality, metadata management, and compliance.
• Drive adoption of SAP Datasphere capabilities including data virtualization, semantic modeling, and federated queries.
• Manage relationships with SAP and technology partners to ensure best practices and roadmap alignment.
• Provide technical leadership for cloud-based data solutions and integration with SAP Business Technology Platform (BTP).
• Mentor data architects and engineers, fostering a culture of innovation and continuous improvement.

Essential Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 10+ years of experience in enterprise data architecture with at least 3+ years in SAP data solutions.
• Expertise in SAP Datasphere, SAP BTP, and integration technologies.
• Strong knowledge of data governance, security, and compliance frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and hybrid data environments.
• Proven ability to lead cross-functional teams and manage complex data programs.
• Excellent communication, leadership, and stakeholder management skills.

Desired Experience

• Hands-on experience with SAP Datasphere implementation and optimization.
• Background in enterprise analytics, data virtualization, and semantic modeling.
• Experience in integrating SAP and non-SAP data sources for unified reporting.
• Exposure to AI/ML-driven data insights and predictive analytics.

Key Responsibilities

• Define and implement enterprise data architecture using SAP Datasphere to support analytics and business intelligence.
• Lead integration of heterogeneous data sources (SAP and non-SAP) ensuring data consistency and security.
• Collaborate with business units to identify data requirements and deliver scalable solutions for reporting and advanced analytics.
• Establish governance frameworks for data quality, metadata management, and compliance.
• Drive adoption of SAP Datasphere capabilities including data virtualization, semantic modeling, and federated queries.
• Manage relationships with SAP and technology partners to ensure best practices and roadmap alignment.
• Provide technical leadership for cloud-based data solutions and integration with SAP Business Technology Platform (BTP).
• Mentor data architects and engineers, fostering a culture of innovation and continuous improvement.

Essential Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 10+ years of experience in enterprise data architecture with at least 3+ years in SAP data solutions.
• Expertise in SAP Datasphere, SAP BTP, and integration technologies.
• Strong knowledge of data governance, security, and compliance frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and hybrid data environments.
• Proven ability to lead cross-functional teams and manage complex data programs.
• Excellent communication, leadership, and stakeholder management skills.

Desired Experience

• Hands-on experience with SAP Datasphere implementation and optimization.
• Background in enterprise analytics, data virtualization, and semantic modeling.
• Experience in integrating SAP and non-SAP data sources for unified reporting.
• Exposure to AI/ML-driven data insights and predictive analytics.

Experience Level

Mid Level