Job Overview:
Join a dynamic team of professionals dedicated to IT business transformations, leveraging SAP solutions and cloud technologies to drive innovation across Finance, HR, Supply Chain, and Sales.

Key Responsibilities:

• Data-Driven Analytics:
  Design and implement large-scale SAC Planning, SAP Datasphere, and SAP Business AI solutions.
  Integrate SAP and non-SAP systems for optimal data utilization.
• ⚖️ Business Process Expertise:
  Lead transformations across Finance, HR, Enterprise Planning, Supply Chain, and Sales processes.
  Deliver FP&A and Data Science solutions with a focus on performance and scalability.
• Solution Architecting:
  Devise roadmaps and frameworks for greenfield, brownfield, and upgrade implementations.
  Develop strategies, build POCs, and ensure post-implementation transitions.
• Thought Leadership:
  Serve as a Subject Matter Expert in SAP Analytics, Blockchain, Cloud, AI & ML.
  Conduct discovery workshops, client presentations, and end-user training.
• Agile Project Management:
  Lead projects using SCRUM methodologies.
  Collaborate with stakeholders to identify and harness business KPIs.

‍ Required Experience:

• ✅ 12+ Years in IT Business Transformations:
  Proven track record with SAP solutions and cloud platforms (AWS, Azure, RISE with SAP, S/4HANA Cloud).
• ✅ 3+ End-to-End Greenfield Implementations:
  Hands-on expertise in SAC Planning with S/4HANA integrations.
• ✅ Solutioning Expertise:
  Extensive experience in effort estimation, RFP responses, and architecture design.
• ✅ Client Engagement:
  Strong interpersonal skills with a focus on client satisfaction.

Preferred Qualifications:

• Financial services industry experience.
• Proficient in written and spoken English.
• Capability Lead (CoE) experience for Enterprise Planning and D&A Capabilities.

Additional Information:

• Flexible Solutioning: Solutions crafted for flexibility, scalability, and enhanced user experience.
• ⚖️ Cross-Functional Knowledge: Expertise spanning Finance, HR, Supply Chain, and Sales processes.
• Focus on Analytics: Significant contributions to FP&A, Data Science, and Analytics consulting.