Senior Managing SAP Analytics SME

  • San Francisco, CA, US

    Chicago, IL, US

    New York, NY, US

    Houston, TX, US

  • Consulting
  • Professional

Senior Managing SAP Analytics SME

  • San Francisco, CA, US

    Chicago, IL, US

    New York, NY, US

    Houston, TX, US

  • Consulting
  • Professional

Introduction
As a Package Consultant at IBM, get ready to tackle numerous mission-critical company directives. Our team takes on the challenge of designing, developing and re-engineering highly complex application components and integrating software packages using various tools. You will use a mix of consultative skills, business knowledge, and technical expertise to effectively integrate packaged technology into our clients’ business environment and achieve business results.

Your Role and Responsibilities
An SAP Analytics Lead plays a critical role in managing and delivering SAP analytics solutions within an organization. Their responsibilities span strategic, technical, and managerial domains, often requiring close collaboration with business and IT teams. Below is a breakdown of the typical roles and responsibilities of an SAP Analytics Lead:
1. Strategic Leadership

  • Define Analytics Strategy: Align SAP analytics solutions with the company’s overall business goals and strategies. Ensure that analytics capabilities are leveraged to enhance decision-making processes.
  • Stakeholder Management: Act as the point of contact for executives, department heads, and end-users to understand business requirements and define analytics roadmaps.
  • Advise on SAP Analytics Products: Provide expertise on various SAP analytics tools like SAP BW (Business Warehouse), SAP HANA, SAP Analytics Cloud (SAC), and SAP BusinessObjects.

2. Project Management

  • Lead SAP Analytics Projects: Manage end-to-end project lifecycle, from planning and requirement gathering to implementation and support.
  • Resource Planning: Ensure the availability of the right technical resources and skillsets to deliver analytics projects successfully.
  • Risk Management: Identify risks in analytics projects and establish mitigation plans.

3. Solution Design & Architecture

  • Technical Solution Design: Lead the design and development of SAP analytics architectures and data models, ensuring scalability, performance, and security.
  • Data Integration: Oversee the integration of various data sources into SAP systems like SAP BW/4HANA, SAP HANA, and external data sources.
  • Tool Selection & Architecture: Choose appropriate SAP analytics tools (SAP BW, SAP HANA, SAP BusinessObjects, SAP Analytics Cloud, etc.) and ensure they are architecturally sound.

4. Team Leadership & Mentoring

  • Lead Analytics Team: Manage a team of SAP developers, data architects, and analysts. Provide guidance, technical mentorship, and support.
  • Training & Development: Ensure continuous development of the team through training in SAP tools and emerging analytics trends.

5. Data Governance & Quality Management

  • Data Governance: Implement data governance policies to ensure that data is accurate, secure, and accessible within SAP systems.
  • Data Quality Management: Monitor data quality, working with data stewards to ensure data consistency and reliability across systems.

6. Technical Expertise & Support

  • Hands-on Expertise: Although primarily a leadership role, there may be times when the SAP Analytics Lead will need to step in and provide technical expertise in data modeling, reporting, or analytics development.
  • Troubleshooting: Resolve high-level technical issues, performance problems, and integration challenges related to SAP analytics systems.

7. Reporting & Analytics

  • Development of Reports and Dashboards: Oversee the design and development of SAP-based reports and dashboards (e.g., using SAP Analytics Cloud or BusinessObjects) that provide insights to stakeholders.
  • KPI Monitoring: Ensure that key performance indicators (KPIs) are tracked and reported correctly across the organization.

8. Continuous Improvement

  • Optimize Existing Solutions: Identify areas for optimization in current SAP analytics deployments, such as improving performance, reducing costs, or increasing functionality.
  • Adopt New Technologies: Stay updated with the latest SAP analytics tools and innovations (e.g., SAP S/4HANA, SAP BW/4HANA, SAC) and recommend upgrades or migrations where necessary.

9. Compliance & Security

  • Ensure Compliance: Work with security and compliance teams to ensure that the analytics platforms meet regulatory requirements (e.g., GDPR, SOX).
  • Security Implementation: Implement security measures within SAP analytics systems to ensure data privacy and protection against breaches.

10. Collaboration with Other IT and Business Functions

  • Cross-functional Collaboration: Work with other departments, such as finance, sales, and HR, to understand their data needs and ensure they are met through the SAP analytics tools.
  • Collaboration with SAP Basis & Infrastructure Teams: Ensure the SAP analytics systems work seamlessly with the underlying infrastructure, including databases and cloud environments.


Required Technical and Professional Expertise

  • Deep SAP Knowledge: A thorough understanding and minimum of 10 year of the SAP landscape, including modules like SAP ECC, SAP S/4HANA, and data migration tools such as SAP Data Services, or any other migration tools
  • Data Management: Strong understanding of master data, transactional data, and data governance principles. Executed minimum of 5 E2E go-lives.
  • ETL Process: Experience with extraction, transformation, and loading (ETL) processes, especially in SAP environments.
  • Data Architecture: Understanding of database management, data integration, and the overall architecture of how data flows within SAP systems.


Preferred Technical and Professional Expertise

  • Experience working with SAP FI/CO, MM, SD or PM and Master Data.

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About IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

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