Overview

We are looking for a seasoned

SAP Data and Analytics Lead

with over a decade of experience in delivering enterprise-level SAP data solutions, particularly in

SAP Datasphere

and

SAP Analytics Cloud (SAC) . This role requires a blend of technical expertise and functional understanding—especially in

Finance data modeling and analytics —along with strong leadership capabilities to drive end-to-end solution delivery.Key Responsibilities

Lead the design, architecture, and implementation of enterprise data models and analytics platforms using SAP Datasphere and SAC.Build and maintain data pipelines, ODS models, and manage data integration workflows (inbound and outbound) across Finance and cross-functional domains.Partner with Finance stakeholders to gather requirements and deliver scalable, performant data models and insightful analytical reports.Provide hands-on development in SAP Datasphere, Data Fabric, and SAP Analytics Cloud, including advanced KPIs, calculations, and dashboards.Establish and promote best practices for data governance, lineage tracking, and security across the SAP data landscape.Required Skills and Experience

10+ years of overall IT experience, with core expertise in SAP Data and Analytics.Proven, hands-on experience with:SAP Datasphere (data modeling, semantic layer, transformations, and integrations)SAP Analytics Cloud (SAC) (story building, planning, predictive analytics, dashboarding)Solid understanding of data integration technologies and modern cloud data architectures.Deep functional expertise in Finance data domains—especially FI (GL, AP, AR, AA) and CO—including modeling and analytics for S/4HANA and non-SAP data sources.Experience in integrating SAP Datasphere with SAP S/4HANA and external data sources.SAP Certifications in Datasphere, Data Fabric, and/or SAC are preferred.Experience working in client-facing roles with direct stakeholder engagement.Strong analytical thinking and problem-solving skills.Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

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