CoE AI, Data and Analytics Senior Consultant - BDC

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

What you’ll do:

As a Senior Expert, you will drive the hands-on execution of data and analytics solutions across SAP and non-SAP platforms. You will advise and guide project activities under the umbrella of Premium Engagement involving Databricks, Snowflake, Azure/AWS/GCP analytics services, and modern Lakehouse architectures—while ensuring seamless alignment with SAP BDC as the enterprise data foundation.

In this role, you will work directly with customer technical teams to configure pipelines, integrate data sources, optimize workloads, and operationalize analytics and AI use cases. You will support solution realization from design to deployment, translating architecture guidance into concrete technical deliverables.

You will collaborate with architects, data engineers, and SAP product teams to validate designs, troubleshoot issues, and ensure solution quality. As a competitive landscape expert, you will advise customers on best-fit technologies and help position SAP BDC effectively within broader enterprise ecosystems.

What You Bring:

• Strong hands-on implementation experience with modern data platforms: Databricks, Snowflake, Google, Azure  or AWS data platforms.
• Experience building data pipelines, ETL/ELT flows, batch and streaming integrations, and lakehouse structures.
• Proficiency with SAP BDC or other SAP data products (Datasphere, SAC, BW/4HANA, HANA Cloud) and ability to integrate them with external data platforms.
• Practical understanding of data modeling, performance tuning, orchestration frameworks, and cloud DevOps workflows.
• Ability to assess trade-offs across competitive data platforms and advise on implementation choices.
• Strong communication, documentation, and problem-solving skills.

EXPECTATIONS AND TASKS

1. Implementation Guidance & Solution Realization

• Guide the implementation of data pipelines, ingestion flows, and transformations across SAP and non-SAP platforms.
• Advise implementation teams on the optimal configuration, optimization, of workloads in Databricks, Snowflake, and hyperscaler data & analytics services.
• Translate solution designs into working technical components and validate end-to-end functionality.

2. Integration Across SAP BDC and External Data Platforms

• Implement use cases spanning across SAP BDC and modern platforms (Databricks, Snowflake, Azure/AWS/GCP).
• Support deployment of analytics-ready datasets for BI, planning, ML, and AI use cases.

3. Performance, Optimization & Technical Troubleshooting

• Analyze performance issues, optimize SQL/ETL/ELT pipelines, implement delta share and tune storage/compute configurations.
• Troubleshoot integration failures, schema mismatches, latency issues, and workload bottlenecks.
• Recommend improvements for reliability, scalability, and cost efficiency.

4. Customer Collaboration, Enablement & Delivery Support

• Work closely with customer teams to clarify requirements, explain technical options, and guide implementation choices.
• Prepare and deliver technical documentation, runbooks, and operational guides.
• Support user acceptance testing, cutover planning, and deployment activities.

5. Competitive Landscape Expertise & Best Practices

• Advise customers on differences across platforms such as Databricks, Snowflake, Azure, AWS , and GCP and their ability to integrate with SAP BDC.
• Provide recommendations based on performance, cost, architecture, and use-case fit.
• Promote best practices for hybrid architectures combining SAP BDC with external data ecosystems.

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems

WORK EXPERIENCE

• 6–10 years of experience in data engineering, analytics platform implementation, or technical consulting.
• Hands-on project experience with Databricks, Snowflake, or Azure/AWS/GCP data platforms.
• Experience and working with SAP BDC, Datasphere, BW/4HANA or HANA Cloud is a strong advantage.
• Prior customer-facing or delivery experience in mid-to-large scale transformation programs preferred.
• Experience working with market-leading AI solutions and positioning them in customer scenarios.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 442333  | Work Area: Consulting and Professional Services  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid