SAC- Manager

Industry/Sector Not Applicable Specialism Advisory - Other Management Level Manager Job Description & Summary Role Overview Lead end-to-end design and implementation of SAP Analytics solutions, with a strong focus on backend semantic modeling — building the data models and semantic layers within Datasphere/BW/4HANA/BDC that enable enterprise-wide analytics and decision-making, enriched with embedded AI (Joule) and complemented by SAP Analytics Cloud (SAC) reporting.

Key Responsibilities Lead end-to-end design and implementation of SAP Analytics solutions, with emphasis on the semantic and data modeling layer, embedded AI (Joule), and SAP Analytics Cloud (SAC) reporting Translate client requirements into scalable data models and semantic layers within SAP Datasphere, BW/4HANA, and SAP Business Data Cloud (BDC), including dimensions, hierarchies, calculation views, and reusable analytic models for enterprise-wide decision-making Design and optimize semantic layers (views, associations, currency/unit conversions, calculated and restricted measures) to ensure accurate, performant, and reusable analytic models Lead workshops to gather requirements, define KPIs, and translate them into well-structured backend models and metrics Guide teams in modeling data consistently across Datasphere, BW/4HANA, and BDC under a unified semantic strategy, ensuring model reusability and minimizing redundant logic Apply functional expertise across R2R, SD, P2P, Supply Chain, and other areas to ground data models and KPI definitions in real business processes Manage project timelines, deliverables, and stakeholder expectations across modeling and analytics modernization engagements Collaborate with clients to strengthen model governance, naming conventions, and data quality validation within the semantic layer Drive adoption of embedded AI/ML in modeling — including Joule-assisted model documentation, natural-language querying, and intelligent recommendations for model design Leverage SAP Business Data Cloud, Databricks, and Snowflake as governed data sources, designing semantic models that federate or harmonize data across these platforms Build and maintain SAP Analytics Cloud (SAC) reports, dashboards, and stories, leveraging modeled data and embedded AI (Joule) to deliver actionable, enterprise-wide insights Ensure data security, access governance, and regulatory compliance are embedded at the model level (row/column-level security, data access controls) Contribute to practice-building through COE assets and reusable accelerators — modeling templates, KPI/metric libraries, and semantic layer design standards Proactively identify, escalate, and mitigate project and technical risks Create and present solution architecture, modeling design documents, and executive summaries What You Must Have At least a Bachelor's degree At least 9–13 years of experience Oral and written proficiency in English required What Sets You Apart One or more SAP certifications in Analytics or Data Modeling — SAP Datasphere, SAP BW/4HANA, or related credentials Deep hands-on expertise in data modeling within SAP Datasphere and BW/4HANA (InfoObjects, ADSOs, CompositeProviders, graphical/scripted views), with working knowledge of SAP Business Data Cloud Working proficiency in SAP Analytics Cloud (SAC) reporting — building stories, dashboards, and visualizations to validate and showcase modeled data Strong experience designing semantic layers — dimensions, hierarchies, calculated/restricted key figures, currency conversions — that translate business requirements into robust analytic models Functional exposure to one or more core workstreams — R2R, SD, P2P — enabling context-rich model and KPI design Working knowledge of modeling across hybrid/multi-source landscapes (SAP and non-SAP), including federation or integration with Databricks and Snowflake-backed data Excellence in complex data analysis and model performance optimization Comfort embracing change and driving innovation in modeling-led analytics consulting, particularly around emerging capabilities like Joule and agentic AI for model design Developed skills in semantic model governance, access control, and data quality validation at the modeling layer Proven ability to mentor and upskill teams in modern SAP data modeling and analytics solutions Travel Requirements Not Specified Job Posting End Date