Delivery Lead

enior SAP SAC Consultant – Job Responsibilities Solution Design & Architecture Lead the design and architecture of SAP Analytics Cloud (SAC) solutions aligned with business objectives. Translate complex business requirements into technical SAC models and dashboards. Define data architecture, models (live / acquired), and connectivity with SAP and non-SAP systems (, BW / 4HANA, S / 4HANA, HANA, SQL, etc.). Dashboard & Story Development Develop interactive and visually compelling SAC stories and dashboards using advanced scripting and calculation capabilities. Customize UI / UX using SAC features like widgets, charts, filters, and responsive pages. Data Modeling & Integration Design and build data models within SAC and integrate external datasets as needed. Ensure high performance and accuracy through optimized data transformations and blending. Configure and manage data import / export jobs and schedules. Advanced Analytics & Planning Utilize SAC’s predictive capabilities, Smart Insights, and Smart Discovery to provide actionable insights. Implement and manage planning scenarios, input forms, allocation logic, and forecast models (if applicable). Stakeholder Collaboration Act as the key point of contact between business users and IT, gathering requirements and providing best-practice solutions. Conduct workshops, training sessions, and end-user support activities. Performance Optimization & Governance Optimize SAC reports and stories for performance and usability. Enforce data governance, security roles, and access controls within SAC. Project Management & Leadership Lead end-to-end project lifecycle for SAC implementations, upgrades, and enhancements. Mentor junior consultants and provide technical guidance to cross-functional teams. Documentation & Compliance Prepare technical documentation, user guides, and test scripts. Ensure compliance with internal data security and external regulatory standards. Innovation & Continuous Improvement Stay current with SAC updates, roadmap features, and SAP BTP innovations. Proactively suggest improvements to enhance analytics maturity and value delivery.