SAC Planning Lead

NTT DATA • Plano, TX

3d

About The Position

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a SAC Planning Lead to join our team in Plano, Texas (US-TX), United States (US).
SAP SAC Planning Lead
Role Overview
The SAP S/4HANA SAC (SAP Analytics Cloud) Planning Lead is responsible for leading planning and forecasting solution implementations using SAP Analytics Cloud integrated with S/4HANA and/or BW. The role combines financial planning expertise with SAC technical skills to deliver intelligent enterprise planning solutions.

Requirements

• Strong expertise in SAP Analytics Cloud – Planning and Reporting modules.
• Knowledge of S/4HANA Finance, BPC integration.
• Experience with data modeling, scripting (Advanced Formulas), and version management.
• Strong understanding of financial planning, budgeting, and forecasting processes.
• Excellent communication and client-facing skills.
• Bachelor’s degree in Finance, Accounting, or IT.
• 7+ years of SAP Analytics/Planning experience, including 3+ years in SAC Planning.
• SAP Certified Associate – SAP Analytics Cloud: Planning preferred.
• Prior experience as project or solution lead in SAC implementations.
• 10+ years of SAP/IT experience

Nice To Haves

• SAP Certified Associate – SAP Analytics Cloud: Planning preferred.
• Prior experience as project or solution lead in SAC implementations.

Responsibilities

• Lead the end-to-end implementation of SAC Planning solutions, including architecture, data modelling, and integration.
• Work with business stakeholders to design planning, budgeting, and forecasting processes.
• Configure data models, input templates, stories, and predictive planning scenarios.
• Define KPIs, metrics, and visualization dashboards for management reporting.
• Conduct user training, UAT, and post-go-live support.
• Drive innovation using predictive analytics and machine learning capabilities in SAC.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level