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KDNI_SAP_Associate Director-Datasphere and SAC at KPMG Global Services
Bangalore, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sap Datasphere, Sap Btp, Data Architecture, Data Integration, Analytics, Business Intelligence, Data Governance, Data Quality, Metadata Management, Data Virtualization, Semantic Modeling, Federated Queries, Cloud Platforms, Leadership, Stakeholder Management, Advanced Analytics

Industry

Business Consulting and Services

Description
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.
Responsibilities
The role involves defining and implementing enterprise data architecture using SAP Datasphere and SAC to support analytics, leading the integration of diverse data sources, and delivering scalable reporting solutions.