SAP Ariba is seeking a highly skilledto drive the success of our advanced analytics-based applications. In this role, you will be responsible for defining the architecture, strategy, and technical vision for next-generation analytics solutions that are
What you'll do:
You will collaborate closely with:
- Product Managers to translate business requirements into technical solutions.
- Engineering Teams to architect, design, and oversee implementation.
- Engineers to mentor and guide them in building innovative analytics-driven applications.
Key Responsibilities- Architect, design, and implement end-to-end analytics solutions that enable data-driven decision-making.
- Develop high-performance, scalable data management and analytics architectures.
- Integrate modern data engineering and analytics technologies into existing systems.
- Establish best practices for data modeling, data mining, and real-time analytics .
- Lead the development of custom analytics applications and AI-driven insights .
- Work with cross-functional teams to ensure seamless data integration and governance.
- Define and implement disaster recovery and high-availability strategies.
- Continuously evaluate and recommend improvements to enhance data reliability, performance, and quality .
Education & Experience- Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field .
- 10+ years of professional experience in product development, analytics, and architecture .
- Strong ability to work in an agile environment and cross-functional global teams.
- Excellent communication, presentation, and strategic thinking skills.
- Proven expertise in translating complex technical concepts into business-friendly insights .
Technical Expertise- Proficiency in Java, Python, Scala, or GoLang for analytics and data-driven application development.
- Expertise in SAP HANA and cloud environments (AWS, Kubernetes, GCP, or Azure) .
- Strong knowledge of AI/ML models , including large language models (LLMs).
- Deep understanding of data structures, algorithms, design patterns, and OOAD .
- Hands-on experience with Relational and Non-relational databases .
- Expertise in data pipelines, job scheduling, and ETL frameworks .
- Experience working with Big Data ecosystems (Spark, Hive, Hadoop) is a plus.
Preferred Skills- Strong background in API development and procurement business processes .
- Knowledge of data security, compliance, and governance best practices .
- Ability to drive innovation and continuous improvement in analytics architecture.
- Self-driven, highly motivated, and a passion for solving complex data challenges
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.